Kalman A. Katlowitz

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.

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

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.

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

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

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

The paper shows that subthalamic nucleus activity decreases during movement switches, challenging theories of movement suppression and revealing distinct neural coding for kinematics and action changes.

The paper shows that long axonal conduction delays in HVC neurons are necessary for precise millisecond timing of neural sequences during song production.