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Although this may seem like a rather minor difference between computers and brains, it has profound effects on neural computation.

For example, a lasting debate in cognitive psychology concerned whether information is lost from memory because of simply decay or because of interference from other information.

In retrospect, this debate is partially based on the false asssumption that these two possibilities are dissociable, as they can be in computers.

Many are now realizing that this debate represents a false dichotomy.

In linear networks, any function computed by a 3-layer network can also be computed by a suitably rearranged 2-layer network.

In other words, combinations of multiple linear functions can be modeled precisely by just a single linear function.

One consequence of this over-simplification is that we are only now learning that “memory” regions (such as the hippocampus) are also important for imagination, the representation of novel goals, spatial navigation, and other diverse functions.

Similarly, one could imagine there being a “language module” in the brain, as there might be in computers with natural language processing programs.

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(See here for more about “attentional pointers” in short term memory).

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“A good metaphor is something even the police should keep an eye on.” – G. Lichtenberg Although the brain-computer metaphor has served cognitive psychology well, research in cognitive neuroscience has revealed many important differences between brains and computers.

Difference # 4: Processing speed is not fixed in the brain; there is no system clock The speed of neural information processing is subject to a variety of constraints, including the time for electrochemical signals to traverse axons and dendrites, axonal myelination, the diffusion time of neurotransmitters across the synaptic cleft, differences in synaptic efficacy, the coherence of neural firing, the current availability of neurotransmitters, and the prior history of neuronal firing.

Although there are individual differences in something psychometricians call “processing speed,” this does not reflect a monolithic or unitary construct, and certainly nothing as concrete as the speed of a microprocessor.


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