Neuromodulation, theta rhythm and rat spatial navigation
Neural Networks - Computational models of neuromodulation
Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
Memory encoding by theta phase precession in the hippocampal network
Neural Computation
Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession
Neural Computation
Neural Networks - 2005 Special issue: IJCNN 2005
A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior
Journal of Cognitive Neuroscience
How inhibitory oscillations can train neural networks and punish competitors
Neural Computation
2005 Special issue: Robust self-localisation and navigation based on hippocampal place cells
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
2005 Special issue: Functional role of entorhinal cortex in working memory processing
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
2005 Special issue: Hippocampal mechanisms for the context-dependent retrieval of episodes
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
2005 Special issue: Interpreting hippocampal function as recoding and forecasting
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Distinguishing Causal Interactions in Neural Populations
Neural Computation
Context learning in the rodent hippocampus
Neural Computation
Theta Phase Coding and Acetylcholine Modulation in a Spiking Neural Network
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Dynamic Brain - from Neural Spikes to Behaviors
An oscillatory hebbian network model of short-term memory
Neural Computation
Dynamics and function of a CA1 model of the hippocampus during theta and ripples
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Pattern recognition using spiking neurons and firing rates
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Rhythm-induced spike-timing patterns characterized by 1D firing maps
Journal of Computational Neuroscience
Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes
Journal of Computational Neuroscience
Assembling old tricks for new tasks: A neural model of instructional learning and control
Journal of Cognitive Neuroscience
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The theta rhythm appears in the rat hippocampal electroencephalogram during exploration and shows phase locking to stimulus acquisition. Lesions that block theta rhythm impair performance in tasks requiring reversal of prior learning, including reversal in a T-maze, where associations between one arm location and food reward need to be extinguished in favor of associations between the opposite arm location and food reward. Here, a hippocampal model shows how theta rhythm could be important for reversal in this task by providing separate functional phases during each 100-300 msec cycle, consistent with physiological data. In the model, effective encoding of new associations occurs in the phase when synaptic input from entorhinal cortex is strong and long-term potentiation (LTP) of excitatory connections arising from hippocampal region CA3 is strong, but synaptic currents arising from region CA3 input are weak (to prevent interference from prior learned associations). Retrieval of old associations occurs in the phase when entorhinal input is weak and synaptic input from region CA3 is strong, but when depotentiation occurs at synapses from CA3 (to allow extinction of prior learned associations that do not match current input). These phasic changes require that LTP at synapses arising from region CA3 should be strongest at the phase when synaptic transmission at these synapses is weakest. Consistent with these requirements, our recent data show that synaptic transmission in stratum radiatum is weakest at the positive peak of local theta, which is when previous data show that induction of LTP is strongest in this layer.