Single cortical neurons as deep artificial neural networks¶
Beniaguev, D., Segev, I., & London, M. (2021). Single cortical neurons as deep artificial neural networks. Neuron.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Dendritic Integration
- The key implication, quantified by Beniaguev and colleagues in 2021, is that mimicking a single cortical pyramidal neuron's input-output relationship required a temporally convolutional network of five to eight hidden layers
This sourceA layer 5 cortical pyramidal cell's input-output mapping was reproduced only by a temporally convolutional deep network of five to eight layers. Reports that a temporally convolutional deep network of five to eight layers was required to capture a layer-5 cortical pyramidal cell's input-output mapping.
SupportedVerified against the source
- The key implication, quantified by Beniaguev and colleagues in 2021, is that mimicking a single cortical pyramidal neuron's input-output relationship required a temporally convolutional network of five to eight hidden layers
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:0df07694d079 · see in the full table