Information Processing Steps Research Articles

Adaptive closed-loop modulation of cortical theta oscillations: Insights into the neural dynamics of navigational decision-making

Navigational decision-making tasks, such as spatial working memory (SWM), rely highly on information integration from several cortical and sub-cortical regions. Performance in SWM tasks is associated with theta rhythm, including low-frequency oscillations related to movement and memory. The interaction of the ventral hippocampus (vHPC) and medial prefrontal cortex (mPFC), reflected in theta synchrony, is essential in various steps of information processing during SWM. We used a closed-loop neurofeedback (CLNF) system to upregulate theta power in the mPFC and investigate its effects on circuit dynamics and behavior in animal models. Specifically, we hypothesized that enhancing the power of the theta rhythm in the mPFC might improve SWM performance. Animals were divided into three groups: closed-loop (CL), random-loop (RL), and OFF (without stimulation). We recorded local field potential (LFP) in the mPFC while electrical reward stimulation contingent on cortical theta activity was delivered to the lateral hypothalamus (LH), which is considered one of the central reward-associated regions. We also recorded LFP in the vHPC to evaluate the related subcortical neural changes. Results revealed a sustained increase in the theta power in both mPFC and vHPC for the CL group. Our analysis also revealed an increase in mPFC-vHPC synchronization in the theta range over the stimulation sessions in the CL group, as measured by coherence and cross-correlation in the theta frequency band. The reinforcement of this circuit improved spatial decision-making performance in the subsequent behavioral results. Our findings provide direct evidence of the relationship between specific theta upregulation and SWM performance and suggest that theta oscillations are integral to cognitive processes. Overall, this study highlights the potential of adaptive CLNF systems in investigating neural dynamics in various brain circuits.

Encoding and decoding of information in general probabilistic theories

Encoding and decoding are the two key steps in information processing. In this work, we study the encoding and decoding capabilities of operational theories in the context of information-storability game, where the task is to freely choose a set of states from which one state is chosen at random and by measuring the state it must be identified; a correct guess results in as many utiles as the number of states in the chosen set and an incorrect guess means a penalty of a fixed number of utiles. We connect the optimal winning strategy of the game to the amount of information that can be stored in a given theory, called the information storability of the theory, and show that one must use so-called nondegradable sets of states and nondegradable measurements whose encoding and decoding properties cannot be reduced. We demonstrate that there are theories where the perfect discrimination strategy is not the optimal one so that the introduced game can be used as an operational test for super information storability. We further develop the concept of information storability by giving new useful conditions for calculating it in specific theories.

Connecting process models to response times through Bayesian hierarchical regression analysis

Process models specify a series of mental operations necessary to complete a task. We demonstrate how to use process models to analyze response-time data and obtain parameter estimates that have a clear psychological interpretation. A prerequisite for our analysis is a process model that generates a count of elementary information processing steps (EIP steps) for each trial of an experiment. We can estimate the duration of an EIP step by assuming that every EIP step is of random duration, modeled as draws from a gamma distribution. A natural effect of summing several random EIP steps is that the expected spread of the overall response time increases with a higher EIP step count. With modern probabilistic programming tools, it becomes relatively easy to fit Bayesian hierarchical models to data and thus estimate the duration of a step for each individual participant. We present two examples in this paper: The first example is children’s performance on simple addition tasks, where the response time is often well predicted by the smaller of the two addends. The second example is response times in a Sudoku task. Here, the process model contains some random decisions and the EIP step count thus becomes latent. We show how our EIP regression model can be extended to such a case. We believe this approach can be used to bridge the gap between classical cognitive modeling and statistical inference and will be easily applicable to many use cases.

Effects of victimization and perpetration in observing bullying scenes: an eye-tracker study

IntroductionPrevious research showed that bullying experiences are associated with different ways of interpreting and behaving in bullying dynamics. However, it remains uncertain whether these distinctions can already be present during the first step of information processing: the allocation of attention. AimsThe study explored attentional patterns of Italian students with different bullying experiences in daily life while observing different roles represented through bullying vignettes. MethodsParticipants (72 students, Mage= 11.18) were categorized as victims, bully-victims, or not involved based on their scores on a self-report questionnaire. They observed 9 bullying vignettes on which different portraits were presented (bully, victim, pro-bully, defender, bystander) while the eye-tracker registered attentional indexes (fixation, visit and duration). ResultsKruskal- Wallis and pairwise comparisons revealed a significant effect for the portraits of the bully and the pro-bully as bully-victims exhibited greater fixations and visits than victims, while students not involved showed no significant differences with the other groups. ConclusionOur research reveals that bully-victims focused more on threatening cues while victims diverged their gaze from them, confirming that the experience of bullying influences how they explore aggressive situations. Learning how involved students direct their attention helps us understand different responses, leading to powerful interventions.

An atypical GdpP enzyme linking cyclic nucleotide metabolism to osmotic tolerance and gene regulation in Mycoplasma bovis

Nucleotide second messengers play an important role in bacterial adaptation to environmental changes. Recent evidence suggests that some of these regulatory molecular pathways were conserved upon the degenerative evolution of the wall-less mycoplasmas. We have recently reported the occurrence of a phosphodiesterase (PDE) in the ruminant pathogen Mycoplasma bovis, which was involved in c-di-AMP metabolism. In the present study, we demonstrate that the genome of this mycoplasma species encodes a PDE of the GdpP family with atypical DHH domains. Characterization of M. bovis GdpP (MbovGdpP) revealed a multifunctional PDE with unusual nanoRNase and single-stranded DNase activities. The alarmone ppGpp was found unable to inhibit c-di-NMP degradation by MbovGdpP but efficiently blocked its nanoRNase activity. Remarkably, MbovGdpP was found critical for the osmotic tolerance of M. bovis under K+ and Na+ conditions. Transcriptomic analyses further revealed the biological importance of MbovGdpP in tRNA biosynthesis, pyruvate metabolism, and several steps in genetic information processing. This study is an important step in understanding the role of PDE and nucleotide second messengers in the biology of a minimal bacterial pathogen.

A Comparative Study of Social Information Processing and Executive Functioning in Children with Attention Deficit and Hyperactivity Disorder and Typically Developing Children

Introduction: Examining the performance of children with Attention Deficit Hyperactivity Disorder (ADHD) in each step of the social information processing and their executive functioning behaviors while comparing them to typically developing (TD) children and determining their limitations in these processes is important for reducing the future risks that children with ADHD may face in academic and social life. In this context, the aim of the study is to comparatively examine the social information processing and executive functioning behaviors of children with ADHD and TD children. Method: The study was conducted using a general survey model, which is one of the quantitative research designs. The participants of the study included 25 children diagnosed with ADHD, aged between 8 and 10, and 25 TD children of the same gender and age range. Additionally, 25 teachers and 50 parents participated in the study. The data collection tools used in the study were the Social Information Processing Assessment Form and the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions (BRIEF). Findings: The study findings showed significant differences between children with ADHD and TD children in all stages of the Social Information Processing Assessment Form. Similar significant differences were also found in all the sub-scales and sub-dimensions of the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions. The relationships between social information processing skills and executive functioning skills also revealed significant associations between some sub-stages of the Social Information Processing Skills Assessment Form and some sub-dimensions of the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions. Discussion: The findings indicate that children with ADHD experience limitations in each of the six steps of the Social Information Processing Model and in some sub-dimensions of executive functions when compared to their TD peers. The findings emphasize the significance of the relationships between social information processing and executive functioning in the development of social and academic skills in children with ADHD.

A BERT-Span model for Chinese named entity recognition in rehabilitation medicine.

Due to various factors such as the increasing aging of the population and the upgrading of people's health consumption needs, the demand group for rehabilitation medical care is expanding. Currently, China's rehabilitation medical care encounters several challenges, such as inadequate awareness and a scarcity of skilled professionals. Enhancing public awareness about rehabilitation and improving the quality of rehabilitation services are particularly crucial. Named entity recognition is an essential first step in information processing as it enables the automated extraction of rehabilitation medical entities. These entities play a crucial role in subsequent tasks, including information decision systems and the construction of medical knowledge graphs. In order to accomplish this objective, we construct the BERT-Span model to complete the Chinese rehabilitation medicine named entity recognition task. First, we collect rehabilitation information from multiple sources to build a corpus in the field of rehabilitation medicine, and fine-tune Bidirectional Encoder Representation from Transformers (BERT) with the rehabilitation medicine corpus. For the rehabilitation medicine corpus, we use BERT to extract the feature vectors of rehabilitation medicine entities in the text, and use the span model to complete the annotation of rehabilitation medicine entities. Compared to existing baseline models, our model achieved the highest F1 value for the named entity recognition task in the rehabilitation medicine corpus. The experimental results demonstrate that our method outperforms in recognizing both long medical entities and nested medical entities in rehabilitation medical texts. The BERT-Span model can effectively identify and extract entity knowledge in the field of rehabilitation medicine in China, which supports the construction of the knowledge graph of rehabilitation medicine and the development of the decision-making system of rehabilitation medicine.

Protein Is an Intelligent Micelle.

Interpreting biological phenomena at the molecular and cellular levels reveals the ways in which information that is specific to living organisms is processed: from the genetic record contained in a strand of DNA, to the translation process, and then to the construction of proteins that carry the flow and processing of information as well as reveal evolutionary mechanisms. The processing of a surprisingly small amount of information, i.e., in the range of 1 GB, contains the record of human DNA that is used in the construction of the highly complex system that is the human body. This shows that what is important is not the quantity of information but rather its skillful use-in other words, this facilitates proper processing. This paper describes the quantitative relations that characterize information during the successive steps of the "biological dogma", illustrating a transition from the recording of information in a DNA strand to the production of proteins exhibiting a defined specificity. It is this that is encoded in the form of information and that determines the unique activity, i.e., the measure of a protein's "intelligence". In a situation of information deficit at the transformation stage of a primary protein structure to a tertiary or quaternary structure, a particular role is served by the environment as a supplier of complementary information, thus leading to the achievement of a structure that guarantees the fulfillment of a specified function. Its quantitative evaluation is possible via using a "fuzzy oil drop" (FOD), particularly with respect to its modified version. This can be achieved when taking into account the participation of an environment other than water in the construction of a specific 3D structure (FOD-M). The next step of information processing on the higher organizational level is the construction of the proteome, where the interrelationship between different functional tasks and organism requirements can be generally characterized by homeostasis. An open system that maintains the stability of all components can be achieved exclusively in a condition of automatic control that is realized by negative feedback loops. This suggests a hypothesis of proteome construction that is based on the system of negative feedback loops. The purpose of this paper is the analysis of information flow in organisms with a particular emphasis on the role of proteins in this process. This paper also presents a model introducing the component of changed conditions and its influence on the protein folding process-since the specificity of proteins is coded in their structure.

Classification of SSVEP signals using the combined FoCCA-KNN method and comparison with other machine learning methods

Brain–computer interfaces (BCI) can be used to decode brain activity and extract commands to control external devices. The inherent complexity of brain signals and the interconnectedness of the information processing steps of these signals have created a sense of the need to use machine learning methods and identify the appropriate pattern to increase the accuracy of the results. In this paper, a new classification approach, which combines the extraction of steady-state visual evoked potentials (SSVEP) signal properties using the Fusing Canonical Coefficients (FoCCA) method and machine learning algorithms, is proposed to increase the accuracy of SSVEP signal classification. This approach, which uses the FoCCA algorithm or other existing algorithms as a feature extractor, is considered a new approach in the processing of brain signals. The results obtained from Support vector machines (SVM), K-Nearest Neighbor (KNN), and Decision Tree algorithms are also compared with each other and has studied and compared to the existing statistical methods. Using the FoCCA method will help us to extract and select the appropriate features to present to the machine learning algorithm and classify the signals, and the application of machine learning algorithms will play an effective role in increasing the classification accuracy.

Le rôle de l’alexithymie dans les comportements violents : Une révision des études disponibles à la lumière du modèle de traitement de l’information sociale

ObjectivesThe literature highlights the prevalence of shortcomings in processing emotional information, especially the identification of emotions in the context of violent behavior. Alexithymia is the inability to recognize and describe emotional states and external oriented thinking. The social information processing approach offers a theoretical framework to understand how alexithymia deficiencies are linked to violence. Furthermore, this approach allows us to determine which stages of processing are associated with specific kinds of deficiencies in order to adapt treatment programs targeting violent behavior. The primary goal of this narrative review is to define and present the relationship between alexithymia and violent behavior. In addition, this review will attempt to illustrate that deficiencies caused by alexithymia are related to different stages of social information processing. MethodsThis review presents an explanation of the links between violent behavior and alexithymia according to the social information processing theory as a theoretical framework. ResultsThere are numerous studies that demonstrate the relationship between violent behavior and alexithymia in different populations (general, psychiatric, or incarcerated) and for different kinds of violence (physical, homicidal or sexual). In particular, the deficiencies caused by alexithymia primarily involved the (in)ability to identify emotional states. Indeed, the more people have difficulties in identifying their own internal emotional states, the higher the probability that they will engage in dysfunctional behavior such as violence. According to the social information processing model, these shortcomings are present in the initial stages of processing. Errors in detection and perception of social cues could produce a misinterpretation of other's intentions and could lead to a hostile attribution bias. This bias exhibits itself as a tendency to interpret the actions of others as hostile, particularly in ambiguous situations and is often linked to impulsive and reactive aggression. Due to these links between alexithymia, misinterpretation, and violent behavior, it seems essential to develop treatment programs designed to reduce the effects of alexithymia. One study demonstrated that a specific treatment program reduced alexithymic related deficiencies among individuals who had committed sexual offences. This program was based on developing the capacity to identify emotions and to use emotive language to verbalize emotional states. These results suggest that it is possible to improve emotional competence and reduce the effects of alexithymia, which could lead to a reduction in errors in social information processing and could be a major protective factor with respect to violent behavior. ConclusionsThe social information processing model allows us to understand the relationship between violent behavior and alexithymia based on the deficiencies in specific processing stages. In other words, this is an approach which examines the varying stages of social information processing which are dysfunctional and their relationship to the various dimensions of alexithymia. Importantly, it seems that the two explanatory hypotheses of alexithymia may be more complementary rather than diametrically opposed. Indeed, these two hypotheses allow us to explain particular kinds of deficiencies based on different stages of social information processing. This heuristic framework promises the possibility of understanding the study of alexithymia depending on both the nature of the shortcomings and on which social information processing steps are involved. Accordingly, it could become easier to accurately understand which processes are involved in order to adapt the treatment of these deficiencies, particularly in relation to violent behavior.

Social information processing, normative beliefs about aggression and parenting in children with mild intellectual disabilities and aggressive behavior

BackgroundHigh levels of aggressive behavior in children with mild intellectual disabilities to borderline intellectual functioning (MID-BIF) are associated with deviant social information processing (SIP) steps. The current study investigated deviant SIP as a mediating mechanism linking both children’s normative beliefs about aggression and parenting to aggressive behavior in children with MID-BIF. Additionally, the mediating role of normative beliefs about aggression in linking parenting and deviant SIP was investigated. Methods140 children with MID-BIF in community care in the Netherlands, their parent(s) or caretaker(s), and their teacher participated in this cross-sectional study. Structural equation modeling was performed to test mediations. Models were run separately for parent and teacher reports of aggression, and included three deviant SIP steps (interpretation, response generation, response selection). ResultsA total indirect effect through deviant SIP steps was found from normative beliefs about aggression to teacher-reported aggression, but not to parent-reported aggression. An indirect effect was found from positive parenting through normative beliefs about aggression to deviant SIP. ConclusionThe results of this study suggest that, next to deviant SIP and parenting, normative beliefs about aggression may be a relevant intervention target for children with MID-BIF and aggressive behavior.

Voltage to Calcium Transformation Enhances Direction Selectivity in Drosophila T4 Neurons.

An important step in neural information processing is the transformation of membrane voltage into calcium signals leading to transmitter release. However, the effect of voltage to calcium transformation on neural responses to different sensory stimuli is not well understood. Here, we use in vivo two-photon imaging of genetically encoded voltage and calcium indicators, ArcLight and GCaMP6f, respectively, to measure responses in direction-selective T4 neurons of female Drosophila Comparison between ArcLight and GCaMP6f signals reveals calcium signals to have a significantly higher direction selectivity compared with voltage signals. Using these recordings, we build a model which transforms T4 voltage responses into calcium responses. Using a cascade of thresholding, temporal filtering and a stationary nonlinearity, the model reproduces experimentally measured calcium responses across different visual stimuli. These findings provide a mechanistic underpinning of the voltage to calcium transformation and show how this processing step, in addition to synaptic mechanisms on the dendrites of T4 cells, enhances direction selectivity in the output signal of T4 neurons. Measuring the directional tuning of postsynaptic vertical system (VS)-cells with inputs from other cells blocked, we found that, indeed, it matches the one of the calcium signal in presynaptic T4 cells.SIGNIFICANCE STATEMENT The transformation of voltage to calcium influx is an important step in the signaling cascade within a nerve cell. While this process has been intensely studied in the context of transmitter release mechanism, its consequences for information transmission and neural computation are unclear. Here, we measured both membrane voltage and cytosolic calcium levels in direction-selective cells of Drosophila in response to a large set of visual stimuli. We found direction selectivity in the calcium signal to be significantly enhanced compared with membrane voltage through a nonlinear transformation of voltage to calcium. Our findings highlight the importance of an additional step in the signaling cascade for information processing within single nerve cells.

The Description Of The Management Of Kurnia Computer Course And Training Institutions In The Pancung Soal District Pesisir Selatan Regency

This research is motivated by several advantages possessed by the Kurnia Computer course and training institution such as gaining the trust to carry out job learning activities and entrepreneurship skills learning activities, having two programs that have been nationally accredited, having instructors who have national competence, training activities centered on community training and provide complete learning facilities. This research has a type of descriptive research. The population in this study amounted to 15 respondents, the sample used was 5 respondents who were used as respondents. This study has a description of the management of the Kurnia Computer course and training institution in Pancung Problem District, South Coast District. The information processing step used in data collection is using a questionnaire, the tool used is a questionnaire while the formula uses a percentage formula. The results of this study if the data on the management of the Kurnia Computer course and training institution in Pancung Problem District, Pesisir Selatan Regency is classified as very good. With good management by managers who have an influence on the implementation of Kurnia Computer training in Pancung Problem District, Pesisir Selatan Regency.

A defensive mindset: A pattern of social information processing that develops early and predicts life course outcomes.

The hypothesis was tested that some children develop a defensive mindset that subsumes individual social information processing (SIP) steps, grows from early experiences, and guides long-term outcomes. In Study 1 (Fast Track [FT]), 463 age-5 children (45% girls; 43% Black) were first assessed in 1991 and followed through age 32 (83% retention). In Study 2 (Child Development Project [CDP]), 585 age-5 children (48% girls, 17% Black) were first assessed in 1987 and followed through age 34 (78% retention). In both studies, measures were collected of early adverse experiences, defensive mindset and SIP, and adult outcomes. Across both studies, a robust latent construct of school-age defensive mindset was validated empirically (comparative fit index=.99 in each study) and found to mediate the impact of early child abuse (38% in FT and 29% in CDP of total effect) and peer social rejection (14% in FT and 7% in CDP of total effect) on adult incarceration.

Situational Risk Assessment Design for Autonomous Mobile Robots

The emerging autonomous mobile robots promise a new level of efficiency and flexibility. However, because these types of systems operate in the same space as humans, mobile robots must cope with dynamic changes and heterogeneously structured environments. To ensure safety, new approaches are needed that model risk at runtime. This risk depends on the situation and is therefore a situational risk. In this paper, we propose a new methodology to model situational risk based on multi-agent adversarial reinforcement learning. In this methodology, two competing groups of reinforcement learning agents, namely the protagonists and the adversaries, fight against each other in the simulation. The adversaries represent the disruptive and destabilizing factors, while the protagonists try to compensate for them. The situational risk is then derived from the outcome of the simulated struggle. At this point, the system’s Digital Twin provides up-to-date and relevant models for simulation and synchronizes the simulation with the real asset. Our risk modeling differentiates the four steps of intelligent information processing: sense, analyze, process, and execute. To find the appropriate adversaries and actors for each of these steps, this methodology builds on Systems Theoretic Process Analysis (STPA). Using STPA, we identify critical signals that lead to losses when a disturbance under certain conditions or in certain situations occurs. At this point, the challenge of managing the complexity arises. We face this issue using training effort as a metric to evaluate it. Through statistical analysis of the identified signals, we derive a procedure for defining action spaces and rewards for the agents in question. We validate the methodology using the example of a Robotino 3 Premium from Festo, an autonomous mobile robot.

From RNA to DNA: Insights about the transition of informational molecule in the biological systems based on the structural proximity between the polymerases

Structural relations in an evolutionary context of polymerases is crucial to gain insights into the transition from an RNA world to a Ribonucleoprotein world. Herein, we present a structural proximity tree for the polymerases, from which we observe that the enzymes that have RNA as substrate are more homogeneous than the group with DNA as substrate. The homogeneity observed in enzymes with RNA as a substrate, may be because they performed all steps in information processing. In this sense, the emergence of the DNA molecule posed new challenges to the biological systems, where several parts of the informational flow were individualized by the emergence of enzymes for each step. From the data presented, we propose a polymerase diversification model, in which we have RNA-dependent RNA polymerases as an ancestor and all other polymerases diverged directly from this group by a radiation process.

Coherent state transfer between superconducting qubits via stimulated Raman adiabatic passage

Coherent quantum state transfer is a vital step in quantum information processing. Based on the stimulated Raman adiabatic passage (STIRAP), we realize robust quantum state transfer between two superconducting qubits, mediated by a tunable coupler. Utilizing parametric coupling techniques, we construct the STIRAP Hamiltonian by modulating the coupler frequency. A population transfer fidelity of 95.1 (±2.0)% is achieved and is consistent with the numerical simulation result of 95.4%. By preparing the initial state in the maximal superposition state of one qubit, we research how the phase of the transferred state is related to the modulation pulses. We also find that the transfer process is robust against the fluctuation of modulation frequency. Numerical simulation confirms that our state transfer scheme is more robust than non-adiabatic protocols.

Alcohol intoxication impairs the bystander intervention process in a hypothetical sexual assault: A field investigation.

High rates of alcohol-related sexual assault among young adults represent a significant public health problem. Bystander intervention programs are a promising strategy to reduce sexual assault incidence. However, little is known about how bystander intoxication may modify bystander intervention effectiveness. We examined the role of bystander intoxication and intoxication levels of the hypothetical victim and perpetrator on outcomes associated with Latané and Darley's (1970) steps of bystander intervention, which include noticing a situation, assessment of risk and need for intervention, taking personal responsibility for intervening, and selecting an intervention. In a field setting, participants were recruited from a downtown area surrounded by several drinking establishments. After providing informed consent, 327 participants (45% women) ages 21 - 29 years listened to one of four sexual assault vignettes (varied by victim and perpetrator intoxication), responded to questionnaires assessing outcomes related to steps of bystander intervention, and completed a field breathalyzer test to measure intoxication level. We found that increased participant intoxication was related to decreased accuracy of situation recall and assessment of risk and need for intervention, but not ratings of personal responsibility to intervene, chosen intervention strategy, or confidence to intervene. Intoxication could influence how a bystander interprets a hypothetical nonconsensual sexual interaction at the level of accurate situation recall and risk assessment. If the early steps of information processing are impaired by intoxication, later steps of intervention enactment may not occur successfully. Bystander intervention programming may consider incorporating training to overcome the impairing effects of intoxication for identifying harmful situations and choosing to intervene.

Cholinergic Signaling Dynamics and Cognitive Control of Attention.

The central cholinergic system is one of the most important modulator neurotransmitter system implicated in diverse behavioral processes. Activation of the basal forebrain cortical cholinergic input system represents a critical step in cortical information processing. This chapter explores recent developments illustrating cortical cholinergic transmission mediate defined cognitive operations, which is contrary to the traditional view that acetylcholine acts as a slowly acting neuromodulator that influences arousal cortex-wide. Specifically, we review the evidence that phasic cholinergic signaling in the prefrontal cortex is a causal mediator of signal detection. In addition, studies that support the neuromodulatory role of cholinergic inputs in top-down attentional control are summarized. Finally, we review new findings that reveal sex differences and hormonal regulation of the cholinergic-attention system.

GABA bouton subpopulations in the human dentate gyrus are differentially altered in mesial temporal lobe epilepsy.

Medically intractable temporal lobe epilepsy is a devastating disease, for which surgical removal of the seizure onset zone is the only known cure. Multiple studies have found evidence of abnormal dentate gyrus network circuitry in human mesial temporal lobe epilepsy (MTLE). Principal neurons within the dentate gyrus gate entorhinal input into the hippocampus, providing a critical step in information processing. Crucial to that role are GABA-expressing neurons, particularly parvalbumin (PV)-expressing basket cells (PVBCs) and chandelier cells (PVChCs), which provide strong, temporally coordinated inhibitory signals. Alterations in PVBC and PVChC boutons have been described in epilepsy, but the value of these studies has been limited due to methodological hurdles associated with studying human tissue. We developed a multilabel immunofluorescence confocal microscopy and a custom segmentation algorithm to quantitatively assess PVBC and PVChC bouton densities and to infer relative synaptic protein content in the human dentate gyrus. Using en bloc specimens from MTLE subjects with and without hippocampal sclerosis, paired with nonepileptic controls, we demonstrate the utility of this approach for detecting cell-type specific synaptic alterations. Specifically, we found increased density of PVBC boutons, while PVChC boutons decreased significantly in the dentate granule cell layer of subjects with hippocampal sclerosis compared with matched controls. In contrast, bouton densities for either PV-positive cell type did not differ between epileptic subjects without sclerosis and matched controls. These results may explain conflicting findings from previous studies that have reported both preserved and decreased PV bouton densities and establish a new standard for quantitative assessment of interneuron boutons in epilepsy.NEW & NOTEWORTHY A state-of-the-art, multilabel immunofluorescence confocal microscopy and custom segmentation algorithm technique, developed previously for studying synapses in the human prefrontal cortex, was modified to study the hippocampal dentate gyrus in specimens surgically removed from patients with temporal lobe epilepsy. The authors discovered that chandelier and basket cell boutons in the human dentate gyrus are differentially altered in mesial temporal lobe epilepsy.