Neural dynamics of in vitro cortical networks reflects experienced temporal patterns

Learning ultimately relies on changes in the flow of activity in neural microcircuits. The plasticity of neural dynamics is particularly relevant for the processing of temporal information. Chronic stimulation of cultured rat cortical networks revealed experience-dependent plasticity in neural dynamics. We observed changes in the temporal structure of activity that reflected the intervals used during training, suggesting that cortical circuits are inherently capable of temporal processing on short timescales.

[1]  D. Muller,et al.  A simple method for organotypic cultures of nervous tissue , 1991, Journal of Neuroscience Methods.

[2]  G. Bi,et al.  Distributed synaptic modification in neural networks induced by patterned stimulation , 1999, Nature.

[3]  H. Robinson,et al.  Simultaneous induction of pathway-specific potentiation and depression in networks of cortical neurons. , 1999, Biophysical journal.

[4]  D. Wilkin,et al.  Neuron , 2001, Brain Research.

[5]  G Shahaf,et al.  Learning in Networks of Cortical Neurons , 2001, The Journal of Neuroscience.

[6]  Dean V Buonomano,et al.  Timing of neural responses in cortical organotypic slices , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[7]  D. Buonomano,et al.  The neural basis of temporal processing. , 2004, Annual review of neuroscience.

[8]  Steve M. Potter,et al.  Effective parameters for stimulation of dissociated cultures using multi-electrode arrays , 2004, Journal of Neuroscience Methods.

[9]  Vincent Torre,et al.  Toward the neurocomputer: image Processing and pattern recognition with neuronal cultures , 2005, IEEE Transactions on Biomedical Engineering.

[10]  Brendon O. Watson,et al.  Internal Dynamics Determine the Cortical Response to Thalamic Stimulation , 2005, Neuron.

[11]  D. Buonomano,et al.  A technique for repeated recordings in cortical organotypic slices , 2005, Journal of Neuroscience Methods.

[12]  Steve M. Potter,et al.  An extremely rich repertoire of bursting patterns during the development of cortical cultures , 2006, BMC Neuroscience.

[13]  Steve M. Potter,et al.  Searching for plasticity in dissociated cortical cultures on multi-electrode arrays , 2006, Journal of Negative Results in BioMedicine.

[14]  Yang Dan,et al.  Experience-Dependent Plasticity in Adult Visual Cortex , 2006, Neuron.

[15]  Dean V Buonomano,et al.  Development and Plasticity of Spontaneous Activity and Up States in Cortical Organotypic Slices , 2007, The Journal of Neuroscience.

[16]  K. Pratt,et al.  Development and spike timing–dependent plasticity of recurrent excitation in the Xenopus optic tectum , 2008, Nature Neuroscience.

[17]  John E. Schlerf,et al.  Dedicated and intrinsic models of time perception , 2008, Trends in Cognitive Sciences.

[18]  Dean V. Buonomano,et al.  A method for chronic stimulation of cortical organotypic cultures using implanted electrodes , 2009, Journal of Neuroscience Methods.

[19]  R. Rosenfeld.  Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[20]  Dean V Buonomano,et al.  Embedding Multiple Trajectories in Simulated Recurrent Neural Networks in a Self-Organizing Manner , 2009, The Journal of Neuroscience.

[21]  Richard Hans Robert Hahnloser,et al.  Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity , 2010, Neuron.