Mohammad Reza Daliri
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View article: Spectral decomposition of local field potentials uncovers frequency-tuned gain modulation of working memory in primate visual system
Spectral decomposition of local field potentials uncovers frequency-tuned gain modulation of working memory in primate visual system Open
Working memory has been shown to modulate visual processing in a variety of ways, including changes in visual response gain, oscillatory power, spike timing, and phase coding of information1–3. Here we probe working memory’s influence on v…
View article: Sensory Modality Shapes Post-Learning Functional Connectivity
Sensory Modality Shapes Post-Learning Functional Connectivity Open
View article: Decoding covert visual attention of electroencephalography signals using continuous wavelet transform and deep learning approach
Decoding covert visual attention of electroencephalography signals using continuous wavelet transform and deep learning approach Open
Covert visual attention decoding from EEG signals is a key challenge in cognitive neuroscience and brain-computer interface applications. Traditional approaches often rely on manual feature extraction and handcrafted pipelines, which limit…
View article: Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform
Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform Open
View article: Protocol for investigating working memory modulation of visual signal processing in the monkey extrastriate cortex using local field potentials
Protocol for investigating working memory modulation of visual signal processing in the monkey extrastriate cortex using local field potentials Open
View article: Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance
Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance Open
Background EEG microstate analysis provides insights into the spatial and temporal dynamics of brain activity during cognitive tasks. The four canonical microstates (classes A, B, C, and D) have been widely reported and associated with var…
View article: Spectral decomposition of local field potentials uncovers frequency-tuned gain modulation of working memory in primate visual system
Spectral decomposition of local field potentials uncovers frequency-tuned gain modulation of working memory in primate visual system Open
Working memory has been shown to modulate visual processing in a variety of ways, including changes in visual response gain, oscillatory power, spike timing, and phase coding of information 1–3 . Here we probe working memory’s influence on…
View article: Distinct neural patterns for various information in working memory: A brain connectivity study
Distinct neural patterns for various information in working memory: A brain connectivity study Open
Working memory (WM) relies on brain networks including the prefrontal cortex (PFC) and medial temporal lobe (MTL) as key nodes. Graph theory analysis has recently played an important role in uncovering brain connectivity architectures due …
View article: Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering
Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering Open
Background Spike sorting is the process of separating electrical events produced by individual neurons in the nervous system, known as “spikes.” Accurate spike sorting is vital because it significantly impacts the reliability of all future…
View article: Genetic effect on working memory activation pattern and structural properties of cortical gray matter
Genetic effect on working memory activation pattern and structural properties of cortical gray matter Open
Working memory is a cornerstone of human cognitive activities, including decision-making and executive control. Understanding whether working memory-related cortical areas are shaped by genetic or environmental factors remains a challengin…
View article: Protocol for phase-amplitude coupling analysis in local field potentials from macaque monkeys to investigate neural oscillation dynamics
Protocol for phase-amplitude coupling analysis in local field potentials from macaque monkeys to investigate neural oscillation dynamics Open
View article: Unraveling the roles of spatial working memory sustained and selective neurons in prefrontal cortex
Unraveling the roles of spatial working memory sustained and selective neurons in prefrontal cortex Open
View article: Functional role of cell classes in monkey prefrontal cortex after learning a working memory task
Functional role of cell classes in monkey prefrontal cortex after learning a working memory task Open
The prefrontal cortex (PFC) is important for learning and performing working memory tasks. However, its precise role for spatial and non-spatial working memory, and the role of different cell types in the circuits that maintain working mem…
View article: Low-frequency local field potentials reveal integration of spatial and non-spatial information in prefrontal cortex
Low-frequency local field potentials reveal integration of spatial and non-spatial information in prefrontal cortex Open
The prefrontal cortex (PFC) is critical for various aspects of executive functions, particularly working memory. The debate over whether the dorsal and ventral PFC should be viewed as unitary or heterogeneous in working memory has been ong…
View article: Cross‐Frequency Couplings Reveal Mice Visual Cortex Selectivity to Grating Orientations
Cross‐Frequency Couplings Reveal Mice Visual Cortex Selectivity to Grating Orientations Open
Introduction Oriented grating is usually employed in visual science experiments as a prominent property of neurons in the visual cortices. Previous studies have shown that the study of mouse vision can make a significant contribution to th…
View article: Explanations of Large Language Models Explain Language Representations in the Brain
Explanations of Large Language Models Explain Language Representations in the Brain Open
Large language models (LLMs) not only exhibit human-like performance but also share computational principles with the brain's language processing mechanisms. While prior research has focused on mapping LLMs' internal representations to neu…
View article: An open-source automated rodent paradigm for forelimb movement in motor control, executive functions, and learning studies
An open-source automated rodent paradigm for forelimb movement in motor control, executive functions, and learning studies Open
Reaching tasks are frequently employed in studies investigating cognitive functions, motor control, and brain-computer interfaces. The center-out task, a subtype of reaching movement, is widely utilized in research and previous studies hav…
View article: Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters
Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters Open
Background: Despite the prevalence and severity of bipolar disorder (BD), current diagnostic approaches remain largely subjective. This study presents an automatic diagnostic framework using electroencephalography (EEG)-derived Hjorth para…
View article: Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback
Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback Open
Implicit motor learning involves the acquisition and consolidation of motor skills without conscious awareness, influenced by various factors. Punishment and reward have been identified as significant modulators during training, impacting …
View article: Decoding of pain during heel lancing in human neonates with EEG signal and machine learning approach
Decoding of pain during heel lancing in human neonates with EEG signal and machine learning approach Open
View article: Decoding covert visual attention to motion direction using graph theory features of EEG signals and quadratic discriminant analysis
Decoding covert visual attention to motion direction using graph theory features of EEG signals and quadratic discriminant analysis Open
Visual attention is a type of selective attention that plays an important role in prioritizing and processing the information received from the visual scenes around us. The brain is an intricate network composed of numerous regions, each w…
View article: Protocol for state-based decoding of hand movement parameters using neural signals
Protocol for state-based decoding of hand movement parameters using neural signals Open
View article: Influence of individual’s age on the characteristics of brain effective connectivity
Influence of individual’s age on the characteristics of brain effective connectivity Open
View article: Coupled oscillations orchestrate selective information transmission in visual cortex
Coupled oscillations orchestrate selective information transmission in visual cortex Open
Performing visually guided behavior involves flexible routing of sensory information towards associative areas. We hypothesize that in visual cortical areas, this routing is shaped by a gating influence of the local neuronal population on …
View article: Working memory expedites the processing of visual signals within the extrastriate cortex
Working memory expedites the processing of visual signals within the extrastriate cortex Open
Working memory is the ability to maintain information in the absence of sensory input. In this study, we investigated how working memory benefits processing in visual areas. Using a measure of phase consistency to detect the arrival time o…
View article: Delta-alpha/beta coupling as a signature of visual working memory in the prefrontal cortex
Delta-alpha/beta coupling as a signature of visual working memory in the prefrontal cortex Open
Executive functions, particularly visual working memory, depend on the prefrontal cortex (PFC). Phase-amplitude coupling (PAC) has been proposed as a measure of synchronized brain oscillations. To study the neural correlates of working mem…
View article: Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data
Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data Open
View article: EEG-based identification system using deep neural networks with frequency features
EEG-based identification system using deep neural networks with frequency features Open
View article: Identification of cognitive load-dependent activation patterns using working memory task-based fMRI at various levels of difficulty
Identification of cognitive load-dependent activation patterns using working memory task-based fMRI at various levels of difficulty Open
Working memory, which is regarded as the foundation of cognitive processes, is a system that stores, processes, and manipulates information in short intervals of time that are actually needed for daily functioning. This study aimed to asse…
View article: Graph-based analysis of EEG for schizotypy classification applying flicker Ganzfeld stimulation
Graph-based analysis of EEG for schizotypy classification applying flicker Ganzfeld stimulation Open