Title :
Biophysical basis of neural memory
Author_Institution :
Inst. for Inf. & Autom., Acad. of Sci., St. Petersburg, Russia
Abstract :
The model of neural membrane describes interaction of gating charges (GC), their conformational mobility and immobilization during excitation. Volt-conformational and current-voltage characteristic (VCC and CVC) of the membrane are analytically derived. Inactivation is shown to change these characteristics during excitation; this is caused by GC immobilization, instead of the contrary. VCC and CVC have hysteretic properties. Due to them electroexcitable units of the somato-dendritic (SD) membrane arrange a memory medium well adapted to record, keep and reconstruct afferent information. GC immobilization underlies consolidation of memory traces. The theory of quasi-holographic associative memory is constructed where role of memory medium is carried out by synaptic addressed units of electroexcitable mosaics of SD-membranes. Small changes of membrane potential (slow potentials) select modes of such memory: if the working point on VCC is displaced inside the hysteretic loop, then the neuron is in writing mode, if outside then in a reading mode. Current distribution of slow potentials shares neuron population on writing, reading and intermediate sets (short-term memory), they are in relative dynamic (metabolic dependent) balance
Keywords :
bioelectric potentials; biomembrane transport; brain models; content-addressable storage; holographic storage; neurophysiology; physiological models; CVC; GC immobilization; SD membrane; VCC; afferent information reconstruction; afferent information recording; biophysics; conformational mobility; current-voltage characteristic; electroexcitable mosaics; electroexcitable units; gating charges; hysteretic properties; memory trace consolidation; metabolic dependent balance; neural membrane; neural memory; quasi-holographic associative memory; reading mode; relative dynamic balance; short-term memory; somato-dendritic membrane; synaptic addressed units; volt-conformational characteristic; writing mode; Automation; Biomembranes; Electronic mail; Hysteresis; Informatics; Integrated circuit modeling; Nerve fibers; Neurons; Read-write memory; Writing;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831448