Nematode Learning and Memory: Neuroethology

Lin, C.H.; Frame, Ariel K.; Rankin, Catharine H.

doi:10.1016/b978-0-12-809633-8.01269-3

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…These include associative and several forms of nonassociative learning that persist over several hours (Hobert, 2003). Interestingly, many processes of learning and memory in C. elegans were highly conserved across different species during evolution, which demonstrates that there are universal mechanisms underlying learning and memory throughout the animal kingdom (Lin and Rankin, 2010).…”

Section: Introductionmentioning

confidence: 99%

An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology

Ferrara¹,

Petrushin²,

Blau³

2015

Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics

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In nature, interneural signaling is highly parallel and temporally precisely structured. It would require equal parallelism and temporal accuracy to faithfully mimic neural communication in hardware representations. Light-based communication schemes fulfil this prerequisite. We report on a prototype of an optical connectome implementation for a neuromorphic system eventually consisting of eight neurons. The platform is based on field-programmable gate arrays (FPGAs) that run neuron-specific response models. Their axons are represented by light-emitting diodes (LEDs) with axonal arbors in the form of micropatterned transparencies. They distribute membrane voltage threshold crossings, which are represented by light pulses, onto synapse-specific photodiodes of postsynaptic neurons. This contribution sketches out the overall system design and discusses its prospective application in replicating the connectome of the nematode C. elegans in the framework of the Si elegans project.

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Section: Introductionmentioning

confidence: 99%

An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology

Ferrara¹,

Petrushin²,

Blau³

2015

Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics

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Habituation Is More Than Learning to Ignore: Multiple Mechanisms Serve to Facilitate Shifts in Behavioral Strategy

McDiarmid

Rankin

2019

BioEssays

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Recent work indicates that there are distinct response habituation mechanisms that can be recruited by different stimulation rates and that can underlie different components (e.g., the duration or speed) of a single behavioral response. These findings raise the question: why is “the simplest form of learning” so complicated mechanistically? Beyond evolutionary selection for robustness of plasticity in learning to ignore, it is proposed in this article that multiple mechanisms of habituation have evolved to streamline shifts in ongoing behavioral strategy. Then, speculations are offered regarding the implications of this reconceptualization of habituation for approaching the analysis of mechanisms of more complex forms of learning and memory.

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Nematode Learning and Memory: Neuroethology

Cited by 2 publications

References 31 publications

An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology

An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology

Habituation Is More Than Learning to Ignore: Multiple Mechanisms Serve to Facilitate Shifts in Behavioral Strategy

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