For questions about mathematical and computational neuroscience.

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Is “Biophysics of Computation” still a good book?

To begin with, I hope this is the right place to ask - if not, please don't be too mad about it :) Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" ...
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2answers
138 views

As for future mind control/reading technology, can humans fight it?

As of recent times, rats have communicated through wireless brain implants, from across the globe. Also, recent fMRI technologies have allowed prediction of movements (or intention), and the ...
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2answers
71 views

Is there a function between loss of memory and time?

I have 2 related questions with regards to memory capabilities and time: "Is there a function (e.g. $e^{-\Delta Time}$) with regards to memory loss?" Everyone is bound to forget over time. Is there ...
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1answer
78 views

In a central pattern generator based on reciprocal inhibition, how does one “side” get picked over the other to start out?

Consider two neurons, A and B, which reciprocally inhibit each other. If both of the neurons receive input at the same time, it seems to me that no oscillation will occur between the two. Such would ...
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1answer
122 views

Can we draw conclusions about content of thoughts from neural firing patterns?

Can the neural firing patterns of animals be associated with specific kinds of thoughts? (ie Thoughts related to food, mating, or neighborly aggression?) I am curious about the speculations in ...
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How much information does the somatosensory system produce?

Are there any approximations of how many bits of information human somatosensory system produces? Especially mechano-receptors as measured in average number of bits per area of skin per second? I've ...
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90 views

How can I test whether Dorsal Raphe Nucleus(DRN) activity at night is related to variations in mood?

I'm reading this paper, which discusses Serotonin activity in the Dorsal Ralphe Nucleus(DRN), and even includes some mathematical models of how serotonin is released and reabsorbed. The paper states ...
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2answers
709 views

Applications of computational learning theory in the cognitive sciences

Computational learning theory (CoLT) is a branch of theoretical computer science associated with the mathematical analysis of machine learning. A lot of the early ideas of the field take inspiration ...
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1answer
127 views

How can STDP fit with reciprocal connectivity?

I have rather technical question regarding STDP dynamics. I am working on a neural network implementing an STDP learning algorithm, and have noticed that it is extremely anti-reciprocal. When two ...
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2answers
1k views

Neural networks with biologically plausible accounts of neurogenesis

One of the reasons artificial neural net algorithms like cascade correlation (pdf) have been generating interest is because they start with a minimal topology (just input and output unit) and recruit ...
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1answer
244 views

Computational models of early learning in children

What are currently used biologically plausible computational models/frameworks of early learning in children? Personally, I have used cascade correlation neural nets to model pronoun acquisition ...
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297 views

How are newly created neurons recruited into existing networks?

As far as I understand, the basics of neurogenesis (abstracted down to the level that makes sense to a computer scientist) is as follows: Neural progenitor cells differentiate into new neurons that ...
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1answer
143 views

Is there evidence that STDP is responsible for the ability to infer causation?

Spike timing dependent plasticity (STDP) is a property of synapses that modifies their efficacy based on timing relationships between action potentials in the pre-synaptic and post-synaptic neuron. A ...
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2answers
598 views

In what ways can neurons fire randomly?

When developing a model of a biologically-plausible neural network, it is important to know all the circumstances under which neurons can fire. But, I am limiting this question to random firing. In ...
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1answer
262 views

How does neural spiking begin in the fetus?

I'm interested in modeling human brain spiking activity. How does the very first spiking activity begin in the fetus? I imagine all spiking activity is initiated by the senses and internal ...
12
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2answers
483 views

Biological plausibility of bayesian models of cognition

Inspired by this question: What are drawbacks to probabilistic models of cognition? I would like to know more about the biological plausibility of Bayesian models of cognition. Is there any neural ...
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1answer
188 views

What explains variability in the mean firing rate across biological neurons?

Biological neurons have a trade-off between high information transfer (high firing rate) and energy conservation (low firing rate). One would suspect that the maximization of this function has a ...
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1answer
115 views

What is the role of traveling waves in circuit formation during cortical development?

Propagating waves of activity have been characterized in various regions of the brain such as the visual cortex (Nauhaus et al., 2012). Recently they have been reported for the first time to occur ...
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3answers
381 views

What are the key examples of the use of computational methods in the study of biological neural networks?

In an upcoming postdoc, I'm going to be looking through biological neural network data in the hopes of finding some interesting "patterns". I'm coming at this field from a mathematics/computer ...
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1answer
100 views

Can processing effort for sub-tasks in neural networks be measured?

I often heard statements like: 80% of your brain processing is computing the effect of gravity or, similarily: You only use 20% of your brain power My question isn't about the truth of ...
6
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1answer
140 views

Hebbian Learning Rule, Local or Global?

I just learned about the Hebbian Learning Rule. It essentially says "Neurons that fire together, wire together". I'm wondering if the learning rule is affected by the spatial distance of the two ...
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1answer
147 views

Computational Model Linking Neural Activity to Behavior

A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local ...