Model of auditory prediction in the dorsal cochlear nucleus via spike-timing dependent plasticity

This study investigates the learning dynamics of cartwheel cells in the dorsal cochlear nucleus (DCN). Cartwheel cells are excited by parallel fibers that carry information from various sources, such as auditory stimuli, proprioception and recurrent inputs from higher-order auditory processing. Thus, these cells are thought to be involved in multimodal sensory integration. Extracellular in vivo recordings show that mouse DCN cartwheel cells respond well to auditory stimuli. A model of the DCN is presented that predicts how the auditory response of cartwheel cells adapts to predictable patterns of auditory stimuli. In the model, the spike-timing dependent learning rule at the synapse from parallel fibers onto cartwheel cells explains predictive learning in the response of cartwheel cells to auditory stimuli.

[1]  Patrick D Roberts,et al.  Stability of negative-image equilibria in spike-timing-dependent plasticity. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  P. Roberts.  Recurrent biological neural networks: the weak and noisy limit. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Donata Oertel,et al.  Bidirectional synaptic plasticity in the cerebellum-like mammalian dorsal cochlear nucleus , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[4]  M. G. Paulin,et al.  Neural simulations of adaptive reafference suppression in the elasmobranch electrosensory system , 1995, Journal of Comparative Physiology A.

[5]  C. Bell,et al.  The generation and subtraction of sensory expectations within cerebellum-like structures. , 1997, Brain, behavior and evolution.

[6]  Herbert Jaeger,et al.  The''echo state''approach to analysing and training recurrent neural networks , 2001 .

[7]  Haim Sompolinsky,et al.  Short-term memory in orthogonal neural networks. , 2004, Physical review letters.

[8]  L. Trussell,et al.  Cell-specific, spike timing–dependent plasticities in the dorsal cochlear nucleus , 2004, Nature Neuroscience.

[9]  L. Abbott,et al.  Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.

[10]  Patrick D. Roberts,et al.  Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation , 2000, Journal of Computational Neuroscience.

[11]  Javier F. Medina,et al.  Computer simulation of cerebellar information processing , 2000, Nature Neuroscience.

[12]  Richard R. Fay,et al.  Integrative Functions in the Mammalian Auditory Pathway , 2002, Springer Handbook of Auditory Research.

[13]  Nace L. Golding,et al.  Physiological identification of the targets of cartwheel cells in the dorsal cochlear nucleus. , 1997, Journal of neurophysiology.

[14]  Eric D. Young,et al.  What's a cerebellar circuit doing in the auditory system? , 2004, Trends in Neurosciences.

[15]  Patrick D. Roberts,et al.  Recurrent neural network generates a basis for sensory image cancellation , 2005, Neurocomputing.