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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
27
revised How to interpret neuron spiking models one comes across in literature?
added 122 characters in body
Apr
25
awarded  Yearling
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.
Apr
13
reviewed Leave Open Is this even possible? Ladas of Argos
Apr
13
reviewed Close Why do people hide wealth?
Apr
13
reviewed Leave Open Psycho-social periodization in Europe
Apr
13
reviewed Leave Open I find things funnier when tired - is this a scientific phenomenon?
Apr
13
reviewed Close Can machines really create anything new?
Mar
30
reviewed Leave Open Which certificates in psychology are available purely online?
Mar
30
reviewed Leave Open Success of Neuromarketing
Mar
30
awarded  Civic Duty
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
awarded  Custodian
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
reviewed Approve Does neuroplasticity cancel the notion of “aptitudes” as a natural gift?
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.