title: A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.
abstract: Current advances in neuromorphic engineering have made it possible to emulate complex neuronal ion channel and intracellular ionic dynamics in real time using highly compact and power-efficient complementary metal-oxide-semiconductor (CMOS) analog very-large-scale-integrated circuit technology. Recently, there has been growing interest in the neuromorphic emulation of the spike-timing-dependent plasticity (STDP) Hebbian learning rule by phenomenological modeling using CMOS, memristor or other analog devices. Here, we propose a CMOS circuit implementation of a biophysically grounded neuromorphic (iono-neuromorphic) model of synaptic plasticity that is capable of capturing both the spike rate-dependent plasticity (SRDP, of the Bienenstock-Cooper-Munro or BCM type) and STDP rules. The iono-neuromorphic model reproduces bidirectional synaptic changes with NMDA receptor-dependent and intracellular calcium-mediated long-term potentiation or long-term depression assuming retrograde endocannabinoid signaling as a second coincidence detector. Changes in excitatory or inhibitory synaptic weights are registered and stored in a nonvolatile and compact digital format analogous to the discrete insertion and removal of AMPA or GABA receptor channels. The versatile Hebbian synapse device is applicable to a variety of neuroprosthesis, brain-machine interface, neurorobotics, neuromimetic computation, machine learning, and neural-inspired adaptive control problems.
authors.affiliation: Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
authors.forename: Guy
authors.initials: G
authors.lastname: Rachmuth
authors.forename: Harel Z
authors.initials: HZ
authors.lastname: Shouval
authors.forename: Mark F
authors.initials: MF
authors.lastname: Bear
authors.forename: Chi-Sang
authors.initials: CS
authors.lastname: Poon
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D055592:Biophysical Phenomena; D002118:Calcium / Q000378:metabolism; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D006801:Humans; D017774:Long-Term Potentiation / Q000502:physiology; D036881:Long-Term Synaptic Depression / Q000502:physiology; D008670:Metals / Q000737:chemistry; D008959:Models, Neurological; D009415:Nerve Net / Q000378:metabolism / Q000502:physiology*; D009473:Neuronal Plasticity / Q000502:physiology*; D009474:Neurons / Q000378:metabolism / Q000502:physiology; D010087:Oxides / Q000737:chemistry; D018091:Receptors, AMPA / Q000502:physiology; D016194:Receptors, N-Methyl-D-Aspartate / Q000502:physiology; D012666:Semiconductors; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D009435:Synaptic Transmission / Q000502:physiology; D013997:Time Factors
chemical_list: D008670:Metals; D010087:Oxides; D018091:Receptors, AMPA; D016194:Receptors, N-Methyl-D-Aspartate; D002118:Calcium
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