Boris Gutkin

Dendrite Control Theory: A Unifying Framework Bridging Neuronal Morphology And Dendritic Voltage Behavior

This paper applies control theory to dendritic structures, showing how morphology and input organization affect resilience and energy cost, with implications for neuronal function.

Dopamine neurons change the type of excitability in response to stimuli

This study investigates how dopamine neuron excitability type changes with intrinsic and synaptic currents, finding that type I and II transitions affect firing patterns and dopamine release.

Neural oscillations as a signature of efficient coding in the presence of synaptic delays

The paper shows that global neural oscillations result from optimal efficient coding in spiking networks with synaptic delays, balancing prediction error and spike efficiency.

An integrated homeostatic reinforcement learning theory of motivation explains the transition to cocaine addiction

This paper develops a computational theory integrating homeostatic regulation and reinforcement learning to explain cocaine addiction, showing how chronic use leads to increased drug-seeking behavior and relapse.

Synergy of AMPA and NMDA receptor currents in dopaminergic neurons: a modeling study

This study models how AMPA and NMDA receptor currents interact in dopaminergic neurons, showing that their combined activation increases firing frequency more than NMDA alone.

Collecting reward to defend homeostasis: A homeostatic reinforcement learning theory

This paper proposes a homeostatic reinforcement learning theory that links reward seeking to physiological stability and explains how dopaminergic activity modulates behavior to maintain homeostasis.