A carbon nanotube cortical neuron with spike-timing-dependent plasticity

Joshi, Jaya; Parker, Alice C.; Hsu, Chih-Chieh

doi:10.1109/iembs.2009.5333251

Cited by 27 publications

(9 citation statements)

References 16 publications

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“…Synaptic Variability Figure 1 shows a BioRC carbon nanotube excitatory synapse circuit [15]. This circuit models cell potentials and neurotransmitter concentrations with voltages, with a correspondence between circuit elements and biological mechanisms.…”

Section: The Neuromorphic Cortical Neuron Circuitmentioning

confidence: 99%

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Modeling intrinsic ion-channel and synaptic variability in a cortical neuromorphic circuit

Mahvash

Parker

2011

2011 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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In this paper, the design of a neuromorphic cortical neuron with synaptic and ion-channel variability is presented and and simulated using carbon nanotube circuit elements. Since the variability could be because of noise or chaos, in this paper, both possible sources of variability are considered by embedding either Gaussian noise or a chaotic signal into the synaptic circuit and the axon circuit and observing the results. The paper also presents a chaotic signal generator using carbon nanotube transistors that could be embedded in the electronic neural circuit. The circuit uses a chaotic piecewise linear one-dimensional map implemented by switched-current circuits. The design was simulated using carbon nanotube SPICE models. Spontaneous firing of neurons due to intrinsic variability was demonstrated.

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Section: The Neuromorphic Cortical Neuron Circuitmentioning

confidence: 99%

“…We use circuits built in Parker's BioRC group (e.g. [13], [14], [15]) because they are designed to expand for greater control and to incorporate additional mechanisms.…”

Section: Background and Our Approachmentioning

confidence: 99%

Modeling intrinsic ion-channel and synaptic variability in a cortical neuromorphic circuit

Mahvash

Parker

2011

2011 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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“…Thus, the SIC cntrl input will be eventually produced from the astrocytic calcium oscillations. Subcircuits (4) and (5) are the modified versions of previously published circuits in our group [9], where here we include the role of the astrocyte in the activation of NMDAR for the production of SIC events.…”

Section: B the Extrasynaptic Nmdar Circuit For Sic Generationmentioning

confidence: 99%

Astrocyte on neuronal phase synchrony in CMOS

Irizarry-Valle

Parker

2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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CMOS neuromorphic circuits are proposed to emulate the role of astrocytes in phase synchronization of neuronal activity. We emulate, to a first order, the ability of slow inwards currents (SICs) evoked by the astrocyte, acting on extrasynaptic N-methyl-D-aspartate receptors (NMDAR) of adjacent neurons, as a mechanism for phase synchronization. We do an experiment incorporating two small networks of neurons interacting with astrocytic microdomains. Upon enough synaptic activity, the microdomains interact with each other, generating SIC events on synapses of adjacent neurons. Since the amplitude of SICs is several orders larger compared to synaptic currents, a SIC event drastically enhances the excitatory postsynaptic potential on adjacent neurons simultaneuously. This causes neurons to fire synchronously in phase. Phase synchrony holds for a duration of time proportional to the time constant of SIC decay.

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“…In this way, the astrocyte "listens and responds" to the synapse and regulates normal operation of synapses via astrocytic mechanisms (Fellin, 2009, Lopez-Hidalgo andSchummers, 2014). In recent studies, several analog and digital brain-inspired electronic systems have been recently proposed as dedicated solutions for fast simulations of spiking neural networks (Joshi et al, 2009, Pfeil et al, 2013.…”

Section: Introductionmentioning

confidence: 99%