Sameer Anil Sheth

The paper investigates how semantic information is encoded in human hippocampal activity during speech processing, finding that distributed neural patterns capture semantic relationships similar to language models.

This study identifies a functional dissociation in human posterior cingulate cortex, showing dorsal PCC integrates value and memory-based decisions while ventral PCC does not.

The paper analyzes electrophysiological signals from white matter and finds they have distinct spectral features and higher complexity compared to gray matter.

The paper develops a pipeline to estimate neuronal tuning for word meaning from naturalistic speech and validates it using patient data and ground-truth controls.

The paper identifies simplex-shaped neural manifolds for number representation in the human medial temporal lobe and finds similarities with large language models.

The paper investigates how bilinguals represent semantic concepts in two languages, finding shared neural geometries that support translation despite language-specific neuron responses.

The paper examines the preservation of anterior limb of the internal capsule (ALIC) topography in treatment-resistant psychiatric patients, finding it consistent with healthy and preclinical patterns.

This study uses large language models to analyze neural responses in autistic individuals, finding reduced contextualization signatures compared to controls.

This study shows that human hippocampal neurons use polysemantic coding, where neurons represent multiple unrelated semantic features through high-dimensional superposition, enabling efficient contextualization of meaning.

The paper investigates how neural circuits in the human hippocampus and anterior cingulate cortex support multiple tasks, finding shared neural subspaces across distinct behaviors.

The paper shows that semantic features in word meaning are encoded in the brain through geometric structures similar to those in language models.

This paper develops a machine learning model to identify seizure onset zones using iEEG data and predicts post-operative seizure freedom, achieving high accuracy in both tasks.

The paper maps semantic organization in the human hippocampus, finding semantotopic patterns and multiscale semantic similarity along the mediolateral axis.

This study investigates how the brain generalizes emotions across individuals, finding that the insula encodes emotions and persons separately, enabling cross-person generalization.

The paper shows hippocampal neurons encode meanings of spoken and heard words using shared geometric embeddings, enabling abstract cross-personal representations while preserving speaker identity binding.

The paper shows that traveling waves in the insula correlate with memory performance during a spatial episodic memory task.

The paper investigates frequency tuning in human neurons using intracranial recordings and finds 27% of neurons show firing preferences within specific oscillatory frequencies, particularly low-theta.

The paper investigates how eye movements influence neural activity, information coding, and network connectivity in the human hippocampus during natural visual processing.

The paper investigates neural components specific to episodic memory by analyzing cross-task decoding in patients performing free recall and arithmetic tasks.

The paper identifies reference contamination in single pulse electrical stimulation data and provides strategies to detect and mitigate it through re-referencing or data recollection.

The paper shows that hippocampal neurons encode word position and context in a way similar to self-attention in large language models.

This study uses human brain recordings to show that creative thinking is associated with distinct neural states in the default mode and dorsal attention networks.

The paper shows that the intraparietal sulcus (IPS) is functionally connected to frontal and cingulate regions during action stopping, with different connectivity patterns during successful stopping and control failures.

This study shows common AAV vectors transduce multiple human brain cell types in organotypic slices, with astrocytes showing the most protein expression, and introduces a pipeline for optimizing AAV vectors.

This study shows that the human hippocampus can process oddball tones and language stimuli, including semantic and grammatical features, even under general anesthesia.

The paper examines brain activity during a continuous prey-pursuit task, identifying distinct roles for hippocampus, ACC, and OFC in decision-making processes.

The paper investigates how hippocampal neurons track multiple agents during pursuit tasks, finding multiplexed neural maps and semi-orthogonal subspaces for distinguishing agents.

The paper evaluates the transcriptional stability of cell types in ex vivo human brain tissue cultures over 14 days using single-nucleus RNA sequencing.

The paper uses intracranial-EEG and video data to show that brain regions switch between spectral states in sync, reflecting naturalistic behaviors and forming functional networks.

The paper shows that the insula uses overlapping neural patterns for recognizing self and others' emotions, while other regions use different patterns.