Kevin Bender is professor of neurology at the University of California, San Francisco. His lab focuses on understanding how the brain encodes information at the synaptic, cellular and network level. Work primarily revolves around understanding how ion channels and modulation of ion channels contribute to these processes in health and in neurodevelopmental and neuropsychiatric conditions. This includes studies related to neurodevelopmental channelopathies, for which he is grateful to be able to work with close colleagues and partners from academia, industry and patient advocacy groups.
Kevin Bender
Professor of neurology
University of California, San Francisco
From this contributor
Should I work with these people? A guide to collaboration
By
Kevin Bender
10 September 2024 | 7 min read
Selected articles
- “Impaired cerebellar plasticity hypersensitizes sensory reflexes in SCN2A-associated ASD” | Neuron
- “Physical and functional convergence of the autism risk genes Scn2a and Ank2 in neocortical pyramidal cell dendrites” | Neuron
- “Arrestin-3 Agonism at Dopamine D3 Receptors Defines a Subclass of Second-Generation Antipsychotics That Promotes Drug Tolerance” | Biological Psychiatry
- “The Autism-Associated Gene Scn2a Contributes to Dendritic Excitability and Synaptic Function in the Prefrontal Cortex” | Neuron
- “Periadolescent Maturation of GABAergic Hyperpolarization at the Axon Initial Segment” | Cell Reports
Explore more from The Transmitter
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
By
Claudia López Lloreda
12 November 2026 | 1 min watch
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
By
Giorgia Guglielmi
12 November 2026 | 4 min read
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
By
Natalia Mesa
11 November 2026 | 10 min read