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comment Voltage sensitive dyes technique: What is the underlying measure?
normalized to average baseline fluorescence. dF is change in fluorescence, and F0 is average baseline fluorescence.
Apr
17
comment Do all types of synapses in the brain change based on spike-timing-dependent plasticity?
Certainly different learning rules are used by neurons in different brain areas.
Mar
30
comment Can electromagnetic fields be used to stimulate areas of the brain?
TMS and TDCS are both forms of electro-magnetic stimulation...
Mar
30
comment How would I train a self-connected hodgkin huxley neuron to exhibit oscillatory dynamics
additionally, oscillations are generally thought to come from circuit dynamics, such as the pyramidal-interneuron loop in nancy kopell's PING model of gamma oscillations.
Mar
30
comment How would I train a self-connected hodgkin huxley neuron to exhibit oscillatory dynamics
do you have dynamical systems in neuroscience by izhikevich? it goes into depth with single-neuron oscillations.
Mar
30
comment What cognitive architectures out there combine multiple sensor streams?
also see the work of dora angelaki
Mar
30
comment What cognitive architectures out there combine multiple sensor streams?
one example of multi-modal integration is that of probabilistic population codes. see Ma,...,Pouget 2006 Bayesian inference with probabilistic population codes
Mar
30
comment Problems with parameterizing neuronal simulation on a limited number of datasets
well there are several benefits. one is that with a model you can explore the effects of changing unknown parameter values, potentially providing predictions for what those parameters should be. another is that with a model, you can do experiments that you couldn't do in an actual animal because you actually have access to all of the relevant variables. it doesn't give you a slam dunk answer but it gives you another perspective on the problem. the model can also be iteratively refined by making predictions, testing them experimentally, and then improving the model based on those experiments.
Mar
29
comment Models relating neuron firing to oscillatory dynamics
I also plan on posting a working opinion paper on this topic in the near future.
Mar
29
comment Problems with parameterizing neuronal simulation on a limited number of datasets
you do what you can. later people will refine it. that is the best you can do. all biophysically realistic computational models are woefully underconstrained at this point.
Mar
28
comment SSVEP based BCI Speller
see cogsci.stackexchange.com/questions/13318/… cogsci.stackexchange.com/questions/7919/…
Mar
27
comment Doe random punishment work like random reward?
can you add some references for your claim? i'm not sure why you say that random reward is more effective than consistent reward.
Mar
15
comment What does “Convolutional” signify in “Convolutional Neural Network”?
i.e. each layer of the network performs a particular convolution on its inputs.
Mar
10
comment Which commodity technologies offer useful neuroimaging data?
obviously, EEG machines provide some signal at different times from the same subject. the question is whether that is the right signal for your application.
Mar
10
comment Which commodity technologies offer useful neuroimaging data?
according to that definition, just attaching a thermometer to your head would be sufficient. what signal are you looking for?
Mar
10
comment Which commodity technologies offer useful neuroimaging data?
useful for what?
Mar
7
comment How to efficiently use a statistical consultant?
perhaps post on cross-validated? stats.stackexchange.com
Mar
7
comment What are the rules that govern neuron behavior?
after all, not all neurons fire action potentials, and not all neurons have separation between axon and dendrite, and neurons don't really have a consistent threshold, and neurotransmission can occur outside of synapses, etc etc etc. but it's still important to teach those rules of thumb because otherwise we can't teach anything.
Mar
7
comment What are the rules that govern neuron behavior?
but seriously, its a pretty good heuristic. it certainly makes conceptualizing network function much much easier for students. it is also a heuristic that allows for a massive amount of the research that goes on in systems neuroscience.
Mar
7
comment What are the rules that govern neuron behavior?
the easy response to those papers is that things are funky in the midbrain.