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Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

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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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1answer
26 views

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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21 views

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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1answer
29 views

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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1answer
68 views

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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1answer
62 views

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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1answer
26 views

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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74 views

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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1answer
40 views

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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How does the brain learn and execute causal reasoning for short-term and long-term planning?

What does state-of-the-art neuroscience research say about the way the brain learns and performs causal reasoning when it has to come up with short-term and long-term plans in order to achieve a ...
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1answer
98 views

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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1answer
65 views

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
120 views

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
26 views

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 ...
3
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1answer
41 views

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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40 views

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
47 views

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
57 views

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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1answer
153 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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1answer
42 views

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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1answer
69 views

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
48 views

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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0answers
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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
73 views

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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1answer
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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
144 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 ...
3
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1answer
54 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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0answers
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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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1answer
93 views

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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2answers
69 views

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
288 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
92 views

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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405 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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1answer
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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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0answers
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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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1answer
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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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4answers
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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
79 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
255 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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0answers
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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 ...
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1answer
46 views

Is there a central collection of information about the often called right brain phenomena? [closed]

There are mental states that some have termed right brain e.g. "Drawing on the right side of the brain" but which may be incorrectly described. Is there a site that specializes in information on ...
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1answer
482 views

What are the advantages of 2AFC in a psychophysical discrimination task?

As far as I understand. In the task of Two alternative forced choice (2AFC), given two possible stimuli, $S1$ or $S2$, the subject has to decide weather he\she (it) saw the sequence $(S1,S2)$ or the ...
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1answer
133 views

Is neurogenesis driven by prediction error?

Various Deep Learning algorithms [1] and neural models [2] make use of neurogenesis to reduce prediction errors. How much evidence is there that neurogenesis is driven by prediction error or novel ...
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3answers
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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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1answer
129 views

Biological plausibility of RBMs

How biologically plausible are Restricted Bolztmann Machines (RBMs) and their stacked equivalent Deep Belief Networks (DBNs)? I know that Deep Learning (DL) in general isn't considered biologically ...
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2answers
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What does it mean when we say that “a neuron connects to a certain cortical layer”?

For example, if we say "a neuron connects to Layer V of the cortex", does it mean it synapses inside layer V, or does it imply that the soma of the neuron it synapses to is in Layer V (and it could ...
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3answers
549 views

Are there neural loops within a column or an area of the cortex?

Neuronal networks can make loops because a neuron has a direction (from dendrite to axon). What's the smallest area in the cortex where we can find a loop and what are these loops? I understand ...
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“Nested Neurons”: Are they biologically plausible?

Is there any evidence for neurons existing within other neurons in humans or other organisms? From what little I've learned about physical neuroscience while learning to build neural nets, I don't see ...