Signal processing in local neuronal circuits based on activity-dependent noise and competition.

We study the characteristics of weak signal detection by a recurrent neuronal network with plastic synaptic coupling. It is shown that in the presence of an asynchronous component in synaptic transmission, the network acquires selectivity with respect to the frequency of weak periodic stimuli. For nonperiodic frequency-modulated stimuli, the response is quantified by the mutual information between input (signal) and output (network's activity) and is optimized by synaptic depression. Introducing correlations in signal structure resulted in the decrease in input-output mutual information. Our results suggest that in neural systems with plastic connectivity, information is not merely carried passively by the signal; rather, the information content of the signal itself might determine the mode of its processing by a local neuronal circuit.

[1]  E. Fortune,et al.  Short-term synaptic plasticity as a temporal filter , 2001, Trends in Neurosciences.

[2]  E. Ben-Jacob,et al.  Coexistence of amplitude and frequency modulations in intracellular calcium dynamics. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Vivien A. Casagrande,et al.  Biophysics of Computation: Information Processing in Single Neurons , 1999 .

[4]  Eshel Ben-Jacob,et al.  The Astrocyte as a Gatekeeper of Synaptic Information Transfer , 2006, Neural Computation.

[5]  Bulsara,et al.  Threshold detection of wideband signals: A noise-induced maximum in the mutual information. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[6]  D. Hagler,et al.  Properties of synchronous and asynchronous release during pulse train depression in cultured hippocampal neurons. , 2001, Journal of neurophysiology.

[7]  A. Neiman,et al.  Memory effects on stochastic resonance , 1996 .

[8]  Carson C. Chow,et al.  Aperiodic stochastic resonance. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  C. Morris,et al.  Voltage oscillations in the barnacle giant muscle fiber. , 1981, Biophysical journal.

[10]  Vladislav Volman,et al.  Activity-dependent stochastic resonance in recurrent neuronal networks. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Eshel Ben-Jacob,et al.  Calcium and synaptic dynamics underlying reverberatory activity in neuronal networks , 2007, Physical biology.

[12]  Y. Goda,et al.  Two components of transmitter release at a central synapse. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Dante R. Chialvo,et al.  Modulated noisy biological dynamics: Three examples , 1993 .

[14]  Henry Markram,et al.  Coding of temporal information by activity-dependent synapses. , 2002, Journal of neurophysiology.

[15]  Mark Ellisman,et al.  Protoplasmic Astrocytes in CA1 Stratum Radiatum Occupy Separate Anatomical Domains , 2002, The Journal of Neuroscience.

[16]  Peter Jung,et al.  Astrocytes Optimize the Synaptic Transmission of Information , 2008, PLoS Comput. Biol..

[17]  Farzan Nadim,et al.  Combining synaptic and cellular resonance in a feed-forward neuronal network , 2007, Neurocomputing.

[18]  A. Araque,et al.  Tripartite synapses: glia, the unacknowledged partner , 1999, Trends in Neurosciences.

[19]  Pak-Ming Lau,et al.  Synaptic mechanisms of persistent reverberatory activity in neuronal networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[20]  Pablo Balenzuela,et al.  Role of chemical synapses in coupled neurons with noise. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  T. Bliss,et al.  Lamellar organization of hippocampal excitatory pathways , 1971, Experimental Brain Research.

[22]  Wei Wang,et al.  Frequency sensitivity in weak signal detection , 1999 .

[23]  宁北芳,et al.  疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A , 2005 .

[24]  G. Buzsáki,et al.  Sharp wave-associated high-frequency oscillation (200 Hz) in the intact hippocampus: network and intracellular mechanisms , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  Stéphanie Ratté,et al.  Nonlinear Interaction between Shunting and Adaptation Controls a Switch between Integration and Coincidence Detection in Pyramidal Neurons , 2006, The Journal of Neuroscience.

[26]  Frank C. Hoppensteadt,et al.  Bursts as a unit of neural information: selective communication via resonance , 2003, Trends in Neurosciences.