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Probably, the "oscillation" refers to the signals of eeg/ecog/meg? If this is the case, then the answer is NO, individual neurons in a local network are firing with much higher rate then the frequency of the oscillatory field produced by the network. (Otherwise, the oscillations would look more like a ripples, not like the periodic function.) The exact ...


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Myelin is a greatly extended and modified plasma membrane wrapped around the nerve axon in a spiral fashion (Morell & Quarles, 1999). It typically forms on long axons to increase conduction speed and efficiency. Learning predominantly takes place in cortical areas and it is believed that it mainly depends on synaptic changes, such as long-term ...


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I find this detail a little confusing when we learn spike-timing-dependent plasticity for example. In the original spike timing dependent plasticity work by Bi and Poo (1998), the focus is best understood as on single spikes at a time. This is because their protocol was to provide repeated stimulations of both pre- and post-synaptic neurons, each ...


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Not sure I understand your question correctly. What is it you can't find anywhere? I would comment and ask for clarification, but that requires 50 rep which I don't have in this community. Just tell me if my reply doesn't answer your question and I'll update. There are two basic ways to describe neurons' firing. One is rate-based and the other is ...


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Given that all production rules reside in the Basal Ganglia and Thamalus, although it is not explicitly stated, the only place the rule compilation could feasibly take place is in the Basal Ganglia and Thalamus.


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Your guess 1 basically sounds like habituation: https://en.wikipedia.org/wiki/Habituation Per your clarification in your comment, 2 sounds like you are generally talking about the role of prediction error in learning. There's a lot of work on this. Neural network models generally learn by modifying the connection strengths in response to error. The most ...


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The limitations of the NEF fall into three main categories: Simplistic Use of Neurotransmitters The NEF uses neurotransmitters and their rate of propagation to set a time constant on an exponential low-pass filter for spikes, as well as for modulation of learning rules (dopamine). This is currently the only use of neurotransmitters in the NEF, despite ...


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see Lisman, J. E. and Otmakhova, N. A. (2001), Storage, recall, and novelty detection of sequences by the hippocampus: Elaborating on the SOCRATIC model to account for normal and aberrant effects of dopamine. Hippocampus, 11: 551–568. doi: 10.1002/hipo.1071: http://wwww.bio.brandeis.edu/lismanlab/pdf/socratic.pdf for one proposed mechanism. in short, local ...


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In general what you're looking for is a biologically plausible model of reinforcement learning and/or conditioning. I know of two publications in particular that address this. The first is A Biologically Plausible Spiking Neuron Model of Fear Conditioning and the second is A Spiking Neural Integrator Model of the Adaptive Control of Action by the Medial ...



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