Title :
Dynamic processes to induce LTP in hippocampalCA1 area: experiment and model
Author :
Aihara, Takuma ; Matsuda, Hironori ; Tsukada, Minoru
Author_Institution :
Fac. of Eng., Tamagawa Univ., Machida, Japan
Abstract :
The article investigates two dynamic processes, fast and slow processes and how they effect the induction of long-term potentiation (LTP). Functionally, the fast process will work as a time window to take a spatial coincidence among various inputs projected to the hippocampus, and the slow process will work as a temporal integrator of a sequence of dynamic events. Firstly, the two factors were studied by using a “burst” stimulus and “long interval patterns” stimulus, respectively. Secondly, we propose a learning rule that for the induction of LTP there are two dynamic processes, fast and slow which are productively activated by bursts and long interval patterns. The model parameters, a time constant of short dynamics and that of long dynamics, were determined by fitting the values obtained from model simulation to the experimental data. A molecular or cellular factors with these two time constants are likely to be induced in LTP induction
Keywords :
bioelectric potentials; brain models; neural nets; LTP induction; burst stimulus; cellular factors; dynamic events; dynamic processes; experimental data; fast process; hippocampalCA1 area; hippocampus; learning rule; long dynamics; long interval patterns; long-term potentiation; model parameters; model simulation; short dynamics; slow processes; spatial coincidence; temporal integrator; time constant; time constants; time window; Electrical stimulation; Electrodes; Fluid dynamics; Frequency; Hippocampus; Intersymbol interference; Pulse modulation; Rhythm; Testing; Time factors;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.844650