How many neurons does a computer have?
Answers from top 14 papers
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| Papers (14) | Insight |
|---|---|
| We show that with the 4g technology it will be possible to simulate networks of 109 neurons and 10,000 synapses per neuron on the K computer. | |
24 Citations | Computer simulation shows that the model not only distinguishes the target in the task, but also explains the activity of the IT neurons very well. |
| Sensitivity measurements from single neurons suggested that small numbers of neurons may account for a monkey's psychophysical performance (Britten et al., 1992), but trial-to-trial variability in activity of single MT neurons are only weakly correlated with the monkey's behavior, suggesting that the monkey's decision must be based on the responses of many neurons (Britten et al., 1996). | |
92 Citations | None of the NPY neurons are pyramidal; many are likely to be local circuit neurons, but some appear to have extrinsic connections. |
| This flexibility in neuron motor output provides the network with many different outputs from a small set of neurons. | |
80 Citations | Several recent studies recording neuronal activities from behaving animals have shown that ensemble activity of neurons represents specific information, indicating the reality of population coding by many neurons. |
45 Citations | Our computer simulation results suggest a possible explanation, namely that there are few neurons providing highly reliable information for the perceptual task, and that learning involves searching for these rare, informative neurons during the course of training. |
| This allows us to integrate many neurons on one chip, which, compared with other photonic solutions, closest resembles a classical neural network. | |
19 Nov 2015 | Neurons also differ in another fundamental aspect from processors in a digital computer: they produce spikes according to stochastic rather than deterministic rules. |
| Electrophysiological recordings show that individual neurons in cortex are strongly activated when engaged in appropriate tasks, but they tell us little about how many neurons might be engaged by a task, which is important to know if we are to understand how cortex encodes information. | |
| Overall this work illustrates how a hardware-realisable neuron model can capitalise on the unique computational capabilities of biological neurons. | |
01 Dec 2013 | This demonstrates that neurons are capable of communicating directly with memristors, without the need for computer translation. |
| These findings are helpful for understanding the input-output properties of many types of neurons. | |
| These results show that many neurons had a heterogeneous functionality by representing distinct task variables at different periods of the task. |