Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

27 questions with no upvoted or accepted answers
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Grating orientation & frequency which induces highest gamma

I am doing some research on perception and gamma activity in V1 area. To check some of my results I need to find an experimental result, from which I would know which orientations and frequencies of ...
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115 views

Do adversarial neural networks exist in the brain?

A recent development in Artificial Neural Networks for machine learning applications is the use of Adversarial Networks (see this paper for an example). Adversarial Networks is a network architecture ...
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143 views

How does the hippocampus and the “Papez” circuit form a memory?

It is admitted the hippocampus is necessary to the formation of new long term memories. At first, information goes back and forth between various parts of the cortex and the hippocampus. That's how a ...
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59 views

Research on computational models of physiological mechanisms in affective neuroscience at a biochemical level

As computational neuroscience has the mainstream on single neuron/network modelling for biochemical aspect, and computational modelling of physiological mechanism of hippocampus for analytic study of ...
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64 views

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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63 views

Are there cognitive models that distinguish semantic and episodic memory?

From various amnesia cases it has been shown that semantic and episodic memories reside in different parts of the brain. Are there any cognitive models that distinguish these two types of memories? If ...
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71 views

How do mammals explore state spaces in reinforcement learning tasks?

Reinforcement learning is the act of learning how to preform a task given punishment and reward. A "state-space" is the space of choices in a context. When performing a reinforcement learning task, is ...
4
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229 views

What's the difference between divisive and soft normalization?

I know that recursive neural integrators (let me know if I need to clarify this term) can be considers soft normalizers, since their feedback loop means that any stimulus eventually saturates the ...
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14 views

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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37 views

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/...
3
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50 views

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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23 views

Relation between NEF and synchronous explanation of cognition

I'm having a hard time determining if synchrony (I'm talking about the type described in reference to the visual cortex as seen here and less about synaptic plasticity which also involves synchrony) ...
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15 views

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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1answer
32 views

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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23 views

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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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 ...
2
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74 views

Influence of LIP on visual cortex

I understand that the lateral intraparietal cortex (LIP) maps various features of targets onto an eye-centric reference frame. I also know that this mapping predicts where visual attention (in the ...
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225 views

What is the limitation of Biosocial Theory developed by Linehan?

Linehan's biosocial theory takes into consideration of the accumulation effect of a stress on individuals, which the Diathesis-stress model could not explain. A predisposition (diathesis) with stress ...
2
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1answer
251 views

How to compute weights and bias for a McCulloch-Pitts neuron?

I am trying to learn how to manipulate McCulloch-Pitts neurons in order to determine their weights and bias based off of inputs. In this example I have inputs: x, y, z ∈ {−1,1} The neuron's output ...
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68 views

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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69 views

How is “one-shot learning” implemented in the NEF/SPA?

In various cognitive modelling publications, "One-Shot Learning", which is just learning given very few examples, is praised as being an essential part of human cognition. For example, in "One-Shot ...
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35 views

Difference between GALIS and NEF/SPA?

The Gated Attractors Learning Instruction Sequences (GALIS) framework, used to solve a card-matching task, as well as the n-back task, appears to be trying to unite high-level symbolic reasoning to ...
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24 views

Creating non-linear neuron model from linear and actual rates

In "Theoretical Neuroscience" by Dayan and Abbott, section 2.2 "Estimating Firing Rates", it describes how by using a linear model in combination with averaged experimental firing rates you can ...
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59 views

How are Bayesian models implemented in the NEF?

One of the much documented problems of Bayesian approaches to cognitive modeling is that there isn't much of a neural grounding. The NEF can be used to compute probabilistic computations with ease (...
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11 views

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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20 views

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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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 ...