Noise-assisted transmission of spikes in Maeda–Makino artificial neuron arrays. Issue 3 (4th May 2017)
- Record Type:
- Journal Article
- Title:
- Noise-assisted transmission of spikes in Maeda–Makino artificial neuron arrays. Issue 3 (4th May 2017)
- Main Title:
- Noise-assisted transmission of spikes in Maeda–Makino artificial neuron arrays
- Authors:
- Prati, Enrico
Giussani, Ernesto
Ferrari, Giorgio
Asai, Tetsuya - Abstract:
- Abstract: Experiment on artificial neurons are usually carried in ideal electronic environment aimed to minimise the disturbance generated by electronic noise. On the contrary, biological neurons are actively using the noise naturally present in their environment. Synaptic processes are noise-tolerant and in some cases noise-assisted. Enhancement of spike transmission assisted by noise has been proposed for arrays of artificial neurons, to emulate behaviour of biologically-plausible spike transmission among real neurons. We employ a biophysically meaningful hardware spiking neuron model reproducing bursting discharges of action potentials to experimentally realise noise-assisted spike transmission. The circuit consists of an array of artificial neurons equipped with Gaussian noise sources capable to deliver the noise current at the inter-neuron nodes. We simulate and experimentally demonstrate the enhancement of spike transmission by tuning Gaussian noise added at the input node of hardware neurons. The circuit provides experimental demonstration of noise-assisted enhancement of spike transmission along an array of weakly coupled neurons. Graphical Abstract: Experimental demonstration of noise-assisted spike transmission in an electronic circuit representing an array of artificial membranes/neurons. In a chain of 3 neurons coupled by inhomogeneous resistors, spikes were not transmitted over the chain (a) if no noise were give, whereas spikes were travelled over the chainAbstract: Experiment on artificial neurons are usually carried in ideal electronic environment aimed to minimise the disturbance generated by electronic noise. On the contrary, biological neurons are actively using the noise naturally present in their environment. Synaptic processes are noise-tolerant and in some cases noise-assisted. Enhancement of spike transmission assisted by noise has been proposed for arrays of artificial neurons, to emulate behaviour of biologically-plausible spike transmission among real neurons. We employ a biophysically meaningful hardware spiking neuron model reproducing bursting discharges of action potentials to experimentally realise noise-assisted spike transmission. The circuit consists of an array of artificial neurons equipped with Gaussian noise sources capable to deliver the noise current at the inter-neuron nodes. We simulate and experimentally demonstrate the enhancement of spike transmission by tuning Gaussian noise added at the input node of hardware neurons. The circuit provides experimental demonstration of noise-assisted enhancement of spike transmission along an array of weakly coupled neurons. Graphical Abstract: Experimental demonstration of noise-assisted spike transmission in an electronic circuit representing an array of artificial membranes/neurons. In a chain of 3 neurons coupled by inhomogeneous resistors, spikes were not transmitted over the chain (a) if no noise were give, whereas spikes were travelled over the chain when the amount of the noise was increased (b)(c). … (more)
- Is Part Of:
- International journal of parallel, emergent and distributed systems. Volume 32:Issue 3(2017)
- Journal:
- International journal of parallel, emergent and distributed systems
- Issue:
- Volume 32:Issue 3(2017)
- Issue Display:
- Volume 32, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 32
- Issue:
- 3
- Issue Sort Value:
- 2017-0032-0003-0000
- Page Start:
- 278
- Page End:
- 286
- Publication Date:
- 2017-05-04
- Subjects:
- Artificial neurons -- Maeda–Makino neuron -- biologically inspired neural networks -- noise-assisted spike transmission
Parallel computers -- Periodicals
Electronic data processing -- Distributed processing -- Periodicals
Computer algorithms -- Periodicals
004.35 - Journal URLs:
- http://www.tandfonline.com/toc/gpaa20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17445760.2016.1189914 ↗
- Languages:
- English
- ISSNs:
- 1744-5760
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.441300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1375.xml