• Publications
  • Influence
The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators
There are several different biophysical mechanisms for spike frequency adaptation observed in recordings from cortical neurons. The two most commonly used in modeling studies are a calcium-dependentExpand
  • 231
  • 23
Phase-response curves give the responses of neurons to transient inputs.
Neuronal firing is determined largely by incoming barrages of excitatory postsynaptic potentials (EPSPs), each of which produce a transient increase in firing probability. To measure the effects ofExpand
  • 192
  • 16
Multiple Bumps in a Neuronal Model of Working Memory
We study a partial integro-differential equation defined on a spatially extended domain that arises from the modeling of "working" or short-term memory in a neuronal network. The equation is capableExpand
  • 231
  • 16
Cholinergic Neuromodulation Changes Phase Response Curve Shape and Type in Cortical Pyramidal Neurons
Spike generation in cortical neurons depends on the interplay between diverse intrinsic conductances. The phase response curve (PRC) is a measure of the spike time shift caused by perturbations ofExpand
  • 105
  • 15
The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons
The response of an oscillator to perturbations is described by its phase-response curve (PRC), which is related to the type of bifurcation leading from rest to tonic spiking. In a recent experimentalExpand
  • 88
  • 13
Dynamics of Membrane Excitability Determine Interspike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics
We propose a biophysical mechanism for the high interspike interval variability observed in cortical spike trains. The key lies in the nonlinear dynamics of cortical spike generation, which areExpand
  • 200
  • 12
Dopamine modulation in the basal ganglia locks the gate to working memory
The prefrontal cortex and basal ganglia are deeply implicated in working memory. Both structures are subject to dopaminergic neuromodulation in a way that exerts a critical influence on the properExpand
  • 159
  • 10
A neurocomputational hypothesis for nicotine addiction.
We present a hypothetical neurocomputational model that combines a set of neural circuits at the molecular, cellular, and system levels and accounts for several neurobiological and behavioralExpand
  • 74
  • 9
Speech encoding by coupled cortical theta and gamma oscillations
Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments ofExpand
  • 97
  • 8
Homeostatic reinforcement learning for integrating reward collection and physiological stability
Efficient regulation of internal homeostasis and defending it against perturbations requires adaptive behavioral strategies. However, the computational principles mediating the interaction betweenExpand
  • 55
  • 6