The h current is a candidate mechanism for regulating the sliding modification threshold in a BCM-like synaptic learning rule.

In a Bcm-like Synaptic Learning Rule the H Current Is a Candidate Mechanism for Regulating the Sliding Modification Threshold

The h current is a candidate mechanism for regulating the sliding 1 modification threshold in a BCM - like synaptic learning rule

Corresponding Author 5 6 Daniel Johnston, Ph.D. 7 Center for Learning and Memory 8 The University of Texas at Austin 9 1, University Station Stop, C7000 10 Austin, TX 78712-0805, USA. 11 12 e-mail: [email protected] 13 Phone: 512-232-6564 14 Fax: 512-475-8000 15 16 17 † Present Address: 18 19 Rishikesh Narayanan, Ph.D. 20 Molecular Biophysics Unit 21 Indian Institute of Science 22 B...

Emergent Dynamical Properties of the BCM Learning Rule

The Bienenstock-Cooper-Munro (BCM) learning rule provides a simple setup for synaptic modification that combines a Hebbian product rule with a homeostatic mechanism that keeps the weights bounded. The homeostatic part of the learning rule depends on the time average of the post-synaptic activity and provides a sliding threshold that distinguishes between increasing or decreasing weights. There ...

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

We propose a model of intrinsic plasticity for a continuous activation model neuron based on information theory. We then show how intrinsic and synaptic plasticity mechanisms interact and allow the neuron to discover heavy-tailed directions in the input. We also demonstrate that intrinsic plasticity may be an alternative explanation for the sliding threshold postulated in the BCM theory of syna...

The Role of Constraints in the Development of Receptive Field Structure of Simple Cells Using BCM Learning

Experimentally studies have shown that visual cortical neurons apply BCM (Binenstock Cooper and Munro) learning rule for modifications in synaptic strength. BCM rule uses adaptive threshold and in this both long term potentiation (LTP) and long term depression (LTD) is automatically taken care of. This overcomes the major disadvantage of Hebbian learning in which there is a mechanism only for L...