Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

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Theoretical Neuroscience: what tools are in your mathematical toolkit?

I believe that the following courses are a minimum math/engineering/(+cs) requirement for theoretical neuroscience research, specifically, Eliasmith's NEF/SPA approach. I wonder what other tools might ...
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How does a brain without sensory inputs function? [closed]

If for some reasons a brain would be deprived off all inputs, it (he/she) would still have memories to process and all thoughts would be based on past experiences. But in case a person was born ...
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Why is it so difficult to use a “true mirror” as a mirror

This Youtube video shows what a "true mirror" is: https://www.youtube.com/watch?v=ZSxCZCy5Wsk In short, when you look into a true mirror you look at yourself (among other things) as you really are, ...
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Equivalent Circuit of cell membrane potential

From chapter $7$ of Kandel et all's Principles of Neural Science:, Go to page 12, Box 7-2 (particular image attached below) The author claims that $$V_m = E_{Na} + I_{Na} / g_{Na}$$ on one side of ...
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Alternative hypotheses to Hebb's rule

I was reading on wikipedia that there are exceptions to the hebbian rule, and I was curious about the possibilities of other hypotheses of how learning occur in the brain. So I would like to know: ...
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Is back-prop biologically plausible?

One of the common criticisms of Deep Learning is it's training algorithms, back-propagation of error (back-prop), has no biologically plausible implementation, despite evidence of something like it ...
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What effect does the size of the soma have on firing characteristics?

For example, cells in layer 5 of the neocortex have a larger soma than do other layers. I'm wondering what the functional difference is between smaller and larger soma. On one hand, I can imagine that ...
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Is it possible to increase the capacity of human brain like “Lucy”?

I saw the film "Lucy" in 2015. The film says that humans can use 100% percent of the capacity of their brains. According to my personal ideas, the capacity of the brain will changed based on the ...
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Extra-classical receptive fields are surprising, but retinal ganglion receptive fields are not. Why?

Rao and Ballard (1999) start their paper by stating that extra-classical receptive fields, which exhibit the phenomenon of end-stopping are difficult to explain. They show that in an idealized ...
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1answer
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In Integrate-and-fire models, why can we assume spike arrivals to be random?

I'm reading through some notes on integrate and fire models and it says that we assume that spike arrivals are random. Why exactly can we make this assumption? Is it because experiments haven't ...
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Surgical implications of a fallacy in infering histology and morphology through a 1.5 Tesla MRI of a brainstem tumor

What would the surgical implications of a fallacy in infering histology and morphology of a brainstem tumour be? I am interested mainly in the sequelae in the sensory, motor and cognitive functions. ...
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Energy supply to brain

I wonder if the energy delivered to brain per unit time to maintain brain processes is limited and fairly constant? Is all provided energy fully used?
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Minimum constant neuron firing rate

Please forgive what may be an elementary question for many of you. I am trying to understand the range of firing rates in an idealized neuron. I understand what governs the maximum firing rate of a ...
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25 views

Testing Multilayer Perceptron [closed]

The following script is from Trappenberg's Fundamentals of Computational Neuroscience and is used to test a perceptron's robustness against noise. However, how would one alter it to test the output ...
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Understanding the transition from integrated form to ODE form of neuron models

I'm trying to convert a fairly complicated neuron model from integrated form (a form of the spike response model) to ODE form for use in the BRIAN simulator. The BRIAN simulator requires neuron/...
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1answer
46 views

Homogeneous Poisson Process of spike train

In Theoretical Neuroscience by Dayan and Abbott page 25, the probability $P[t_1, t_2, ..., t_n]$ that a sequence of n spikes occurs with spike $i$ falling between times $t_i$ and $t_i+\Delta t$ ...
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3answers
589 views

Predicting the individual effects of psychotropic drugs

https://www.ncbi.nlm.nih.gov/m/pubmed/23796468/ I have searched the national library of medicine but I could not find any papers about predicting both the therapeutic and adverse effects on the ...
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Have “Sapir-Whorf sensitivity” and “differential neuroplasticity” been considered so far?

I watched the movie "Arrival" today and came to define the concept of "Sapir-Whorf sensitivity" as the measure of to what extent is the way of thinking of somebody influenced by the languages they ...
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424 views

Classification of EEG Signals

I am working on a project related to Brain-Computer Interface & I came across this problem. What are the tools and techniques used to classify the EEG signals which are extracted from brain using ...
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187 views

Delay time of Transmitting the information from one neuron to another in brain

Inside the brain the electrical signals are transmitted from one neuron to another by using special chemicals, called "neuro-transmitters" from the axon terminals. Could anyone can tell me how to ...
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1answer
114 views

Does monism imply that computers can have consciousness?

According to The Basic Theory of the Mind, the mind is not a different entity from the brain, but an emergent property of the brain. Based on this assertion, can it be concluded that computers and ...
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37 views

How does a brain learn strategies?

Imagine the simple task of finding words in a wordsearch. Initially the default strategy might be just to let your eyes wander around to see if you spot any words. Strategy 2 might be to search for ...
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Good neuroscience research blogs

In the field of AI research there are really good research blogs that regularly analyse methods and review papers. Examples that come to mind are: BAIR blog: The Berkeley AI Research blog Distill: an ...
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What are current neuronal explanations and models of 'consciousness'?

I would like to understand more about consciousness from a neuroscientific perspective. I have a limited understanding of it in the philosophical/psychological sense through lectures. Although it is ...
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1answer
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Why is positive semi definiteness a sufficient condition for Lyapunov stability of the Hopfield networks?

For a given Hopfeild network : $\tau\frac{dx}{dt} = -x + f(Wx + b) $ a general Lyapunov stability function for Hopfeild networks is : $L(x) = -\frac{1}{2}x^TWx + b^Tx + F(x)$ where $F(x) = \int^{...
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78 views

Is there any Sleep limit for a human body?

Can we sleep throughout our whole life if we are supplied the necessary things like food,water etc.
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135 views

Biologically plausible models for causal inference in the human brain

Introduction: In ‘Is coding a relevant metaphor for the brain?’(2018) Romain Brette argues that the causal structure of neural codes (linear, atemporal) is incongruent with the causal structure of the ...
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Constraints on dataset size for AI-assisted connectome reconstruction

From an exchange with Dr. Seung, an expert on connectomics, I learned that one of his former PhD students Viren Jain is leading the Connectomic effort at Google using supervised learning methods. Now, ...
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ML/Neuroscience: TensorFlow vs PyTorch vs Keras for bulding NN models of the nervous system?

I would be very grateful to people with experience in using neural network models in neuroscience for advice! What approach would you recommend for building neural networks? I am choosing between ...
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35 views

Methods to find patterns or correlations in MEA spike trains

I am looking for methods currently used to analyze micro-electrode arrays spike trains and figure out patterns, as repeated sequences of activation or spacial correlations. I know about ISI ...
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3answers
757 views

Why does a neuron choose to connect to another?

I have been reading about neuron creation, guidance cues and all sorts of highly complex mechanisms used to allow one neuron axon to extend or connect - but to what end? Why does one neuron end up ...
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1answer
104 views

Understanding the 'Wiring Catastrophe'

Introduction: In 'Wiring optimization in the brain'(2000), Dmitri Chklovskii and Charles Stevens analyse the dependence of the complexity of cortical circuits on the number of synapses per neuron ...
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1answer
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How can higher concepts get unrolled with upward and feedback connections differing?

In the neocortex, input patterns are compressed hierarchically. Sensory inputs in the lower levels are combined by higher levels to form abstract concepts. However, there are even more feedback ...
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Modelling the Human Brain as a directed graph

A mathematician on the MathOverflow, Hans-Peter Stricker, recently(2016) considered the possibility that human brains may be modelled as directed graphs with neurons as nodes and synapses as edges. I ...
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126 views

What's the pathfinding algorithm the human brain uses?

I was trying to build a software simulation of people using different pathways in a city to get from point A to point B. I do know the Dijkstra's algorithm and the A* algorithm, but what they do is to ...
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351 views

Can humans be reduced to a function?

Based on an article by UK Essays, we are nothing more than robots that operate based on our past experience and other factors like amount of neurotransmitters, hormones, and other chemicals, trying to ...
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What is the state of the art on the wiring optimisation problem?

One of the earliest neuroscientists, Santiago Ramón y Cajal, postulated that brains are arranged to minimise wire length [1]. In [1] Dmitri Chklovskii and Charles Stevens formulate this problem as ...
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136 views

What sources of randomness does the brain use for sampling?

As an applied mathematician, I have a growing interest in the mechanisms for uncertainty representation and computation in the human brain. In fact, I recently compiled a list of papers on this ...
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2answers
65 views

Simulating Hudgkin Huxley neural network

I'm starting work on a computational neuroscience project where I want to create my own model of a spiking Hodgkin-Huxley neuron and connect many instances (about 400) of this model through synapses. ...
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6answers
46k views

Why would the brain flip the images perceived by your eyes?

The following is a common scientific statement, which you don't have to google long for to find: The eye views images upside-down in the manner of a camera lens, but our brains reinterpret this ...
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450 views

How does cognitive science explain distant intentionality and brain function in recipients?

Achterberg and colleagues' (2005) study, Concluded that instructions to a healer to make an intentional connection with a sensory isolated person can be correlated to changes in brain function ...
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Timeframe in which thoughts are concieved [closed]

Are thoughts concieved in realtime or are they preprocessed chains ready to be thought or both (depending on the prospective) or am I asking a too generalized question to have any sense ?
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Cerebellum question

Sorry if this sounds at all like pretentious armchair theorizing(it basically is), but I have a question which I can't really figure out how to search. So, given the resemblance of the cerebellum to ...
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152 views

Criteria for evaluating cognitive systems

In the first chapter of the book "How to Build a Brain", Chris Eliasmith quickly establishes some criteria which he will use to evaluate Spaun, the cognitive system described in the book. He describes ...
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1answer
118 views

Integrated Information Theory - If correct could humans create artificial consciousness?

First off please keep in mind I am self-learning and am learning about this for fun, I have no end goal. I'm trying to make predictions about what I am learning implies or means, so I can ask better ...
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1answer
42 views

Is there any evidence for or against the existence of neurons that encode surface slant in vision?

In the way orientation columns display selectivity for various edge orientations projected on the retina which is then repeated at various angles in a localised region of the cortex. I am wondering ...
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Does neurodynamics have any relation to psychodynamics?

From Neural oscillation - Wikipedia: Neural oscillations are commonly studied from a mathematical framework and belong to the field of "neurodynamics", an area of research in the cognitive sciences ...
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How does masking work?

Masking occurs when the delay between the target and the mask is less than a threshhold (say 50 milliseconds). If sensory data passes from lower to higher visual cortices/processing regions as in a ...
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538 views

How does the brain calculate velocity?

How does the human brain calculate velocities? For example, when crossing a road and seeing a car coming towards you, how does the brain actually compute the rough velocity of the vehicle and your own ...
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193 views

By which neuronal mechanisms does music make us happy or sad?

There are brain regions (X) that show stronger activation for joyful music, regions (Y) that show stronger activation for sad music, and regions (Z) that show similar activation for both. Assuming ...

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