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Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

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How does a brain without sensory inputs function?

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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89 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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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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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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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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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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1answer
95 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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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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How to define “current” in artificial neural network?

How do neuroscientists define current/current densities in artificial neural networks? Assume I have some deep network and I would like to study its dynamic/evolution in time during the training ...
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What tasks is Spaun 2.0 able to perform?

According to "A Large-Scale Model of the Functioning Brain" by Eliasmith et al., Spaun 1.0 was able to perform 8 distinct cognitive tasks: Copy Drawing: Given a randomly chosen handwritten digit, ...
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MEG from simulated neurons

Given MEG is an approximation of neuronal spiking, are there any models that associate the spiking of simulated neurons to an MEG signal? Ideally, this would be a model with some amount of behaviour (...
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Name of association phenomenon

What is the name of the problem to explain how the neural activation for "red circle and a blue triangle" is different from "blue circle and red triangle"? Just activating the neurons for "red", "blue"...
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What extent is non linear dynamics and chaos helpful to study brain function?

Recently I've started reading dynamical systems in neuroscience by izhikevich and was fascinated by the subject. I would like to pursue PhD in computational neuroscience after my masters. Is it worth ...
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What are the neurological similarities between humans and primates?

I don't know exactly what primate specie is considered to be out ancestor. But the next question regards them. Assuming that in the beginning *we considered true the remnants of many trial & ...
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Does anybody know a source having multi-electrode (several channels) recorded data of multiple Neurons (I prefer real data not artificial)?

I mean recorded data of multiple Neurons with multi-electrode. I need this data as the input for my experiment.
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Brain and General Sections

Whereabouts in the brain gets triggered/switched on when an addictive substance is ingested/taken. I'm doing an addiction study with a couple of colleagues and would like some help with it.
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What are the top contributions from neuroscience to AI and viceversa? How much progress has been made from the interaction between these two fields?

What are the top contributions from neuroscience to artificial intelligence and viceversa? How much progress has been made from the interaction between these two fields? Is there a formal research ...
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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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Why is the hopfield network a model of associative memory?

I'm struggling to understand the meaning of the term associative memory in the context of Hopfield networks. I'm not sure if associative learning is the same thing or a different thing. In associative ...
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2answers
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Are thoughts transferred along with a brain during a brain transplantation?

If I'm transplanted with, e.g., Stephen Hawking's brain, would I start to think like him, or would I remain to think like me? On which, "thinking" ability depends , is it the physical structure of ...
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Is the phenomenom of “subjective consciousness” or “qualia” formally captured by any state-of-the-art Theoretical Model in Neuroscience?

Is the phenomenon of "subjective consciousness" or "qualia" formally captured or defined by any state-of-the-art Theoretical Model in Neuroscience? If so, can you share a brief summary of such ...
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1answer
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Are cycles possible in circuits of neurons? [duplicate]

If we consider neurons nodes and connections between them edges, are cycles (from graph theory) are possible in the brain? To put it another way, would the signal generated from ...
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How long can neuron adaptation last?

One way to model a neuron which adapts to input current is an Adaptive LIF [1]. In this model, the input current is subtracted by $n$, which changes with $dn=\frac{-n}{\tau_n}dt$ [2] and $n$ is ...
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Why we construct and estimate human brain models? [closed]

Based on clinical data collected using different brain imaging, researchers build a mathematical model of the activity of the human brain like the hemodynamic model (Friston, 2000) that describes the ...
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1answer
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In TD learning, is the weight function used as a linear filter?

In the Temporal difference learning algorithm (TD-learning), an agent seeks to predict the total value of future rewards that will be received during the current trial. The agent updates the ...
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1answer
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Difference between brain and electronic device signals

As I understand it, a brain communicates through sending signals via ions and chemical reactions resulting in concentrations of ions, a computer sends signals by electrons. I'm really trying to do 3 ...
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166 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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Representations of negated propositions

The following question is quite hypothetical, and just to get an idea. Assume any model of how positive propositions $p$ are actively (opposed to synaptically) represented in a neural network, e.g. "...
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What is the consequences to be a person who works in theory of science?

this question rises into my head this day. First I read the comment by @mikeazo he says Do you learn best by reading or doing? That will make a difference. Also, today I had a class in ...
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1answer
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Can the Hodgkin-Huxley neuron incorporate desensitization?

I'm studying a neuron in an organism that has the following properties: The neuron's output voltage is dependent on the strength of the stimulus, if that stimulus is applied and removed without any ...
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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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1answer
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Can information be lost while traveling through neurotransmitters?

Can information be lost while traveling through neurotransmitters, if so then why? If information can be lost while traveling then is it possible to retransmit them and put back in order? For example ...
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Learning In Retina

Most of the sources studying retina seem to suggest that retinal connectome is hardwired and species dependent (like specialized vertical movement detector in small rodents). I couldn't find a single ...
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Question concerning Jeff Hawkins' On Intelligence

In 2004 Jeff Hawkins' book On Intelligence was widely praised. But Hawkins made some claims about artificial neural networks that seem (to me) untenable today, only 13 years later. He gives the ...
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1answer
288 views

Ligand-gated ion channels as operators

Isn't there a perfect analogy between ligand-gated and voltage-gated ion channels considered (mathematically) as (non-linear) operators, mapping one function (of time) to another one? Voltage-gated ...
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1answer
55 views

Voltage-dependent ion channels as operators

Does it make sense (or is even the standard approach) to model mathematically a voltage-dependent ion channel not as a function, that maps a voltage to a conductance ($f:\mathbb{R}\rightarrow \mathbb{...
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Hypothetical working and function of grandmother cells [closed]

I wonder, if the following model of the working and function of hypothetical grandmother cells is worthy of consideration or not (or if it is even a common view, just differently stated). I assume ...
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Conceptual representations in brain by distributed groups of neurons

It seems generally agreed upon that semantic concepts are distributedly represented by groups and groups of groups of neurons spread over the cortex. Disregarding the localizations, shapes and ...
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Spike-timing-dependent plasticity versus Homeostatic plasticity

How can spike-timing-dependent plasticity and homeostatic plasticity both be right? If spike-timing-dependent plasticity consistently tries to strengthen connections, but homeostatic plasticity ...
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3answers
377 views

What are some credible conferences and journals in computational neuroscience?

I have a background in computer science, and I wish to introduce cognitive sciences to myself, particularly from a computational/mathematical perspective. My motivation for doing this artificial ...
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1answer
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The role of high-performance in neuropsychology

As far as I understand, neuropsychology gains most of its insights from the reconciliation of lesions of the brain and cognitive impairments. Normal functioning (both of the brain and the mind) plays ...
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1answer
593 views

What is the capacity of the human brain?

What would a reasonable estimate be of the data capacity of the human brain expressed in bytes?
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Biological Plausibility of FORCE training

In "Supervised Learning in Spiking Neural Networks with FORCE Training" by Wilten Nicola and Claudia Clopath. The authors create a learning rule for learning non-linear dynamics from populations of ...
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What's the relation between PES and LSA?

In "Learning by stimulation avoidance: A principle to control spiking neural networks dynamics" by Sinpayen et al. a learning rule called Learning by Stimulation Avoidance (LSA) is presented. ...
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Why is PES biologically plausible?

The NEF puts great emphasis on biological plausibility. However, I'm not clear on why the Prescribed Error Sensitivity (PES) learning rule, used in many NEF-based models, is considered to be ...
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What role do circular network structures play in neural networks?

I'm developing small virtual neural networks and for the most part, the networks have remained feed-forward. When I create circular structures, it becomes a challenge to find a balance with the neural ...
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1answer
118 views

Delay time of Tansmiitting the information from one neuron to another

Inside the brain the electrical signals are transmitted from one neuron to another by using special chemicals, called "neurotransmitters" from the axon terminals. Can anyone tell me approximate value ...
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1answer
312 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 the ...
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How to connect two networks in NEURON software? [closed]

So my goal is to connect STN and SNc neurons by giving synaptic weights and then see the response. I have already modelled STN and SNc separately and observed their response. I need help with the ...