Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

Filter by
Sorted by
Tagged with
3
votes
2answers
131 views

Neural nets for cognition

I recently got into Neural networks. As much as I have understood, the learning process is based on the change in weights according to stimulus and algorithm used in learning. Does this in any way ...
3
votes
1answer
71 views

The article “Vector reconstruction from Firing Rates” of Abbott and Salinas

Is anyone familiar with this article? I am reading it, and it is basically very clear. But still, some points are not clear to me. For example, how is equation (7.1) in page 12: $Q_{i,j}^{-1} = F(...
3
votes
1answer
314 views

link between top-down (bottom-up) processing and cortex layers

What are the relations between top-down and bottom-up processings and the flows of information in the brain? For example, does top-down processing start from some layers and go to lower layers? If so ...
3
votes
1answer
152 views

Role of declarative memory in learning skill

In Neil Taatgen's paper on primitive information processing elements (PRIMs) he notes that as a result of saving the used PRIMs in declarative memory (which is fast) as opposed to procedural memory (...
3
votes
1answer
45 views

Are there theories on how vocabularies for the Semantic Pointer Architecture are created?

The semantic pointer architecture is a vector symbolic architecture where high-dimensional sparse vectors represent concepts. These concepts can be mathematical, linguistic or sensory. In all of the ...
3
votes
1answer
76 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, ...
3
votes
1answer
144 views

How can neuronal networks with local learning rules predict their future inputs?

Local learning rules like Contrastive Hebbian Learning, XCAL, etc. are based on the idea of strengthening edges when the neurons they connect fire simultaneously. This causes frequent patterns in the ...
3
votes
4answers
6k views

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 ...
3
votes
2answers
107 views

Are there models of single neurons on slow timescales?

From what I've come across on the web, most models of single neurons seem to focus on the "fast timescale", where electrical signals are transmitted from one neuron to another. However, neurons are ...
3
votes
1answer
169 views

How can Semantic Pointer Architecture be used to capture dynamical systems?

Most uses of SPA I've seen seem to be representing static systems, such as recognizing digits, categorizing images, rapid variable creation (also called "completing a pattern") and planning a path for ...
3
votes
1answer
168 views

How is memory accounted for in the NEF?

The Neurological Engineering Framework can be used to create systems that use memory in interesting ways. One system (Spaun) is able to memorize (and forget) lists much in the same way as humans do. ...
3
votes
1answer
44 views

How well are neurotransmitters used in SPA?

How much does the SPAUN and the Semantic Pointer Architecture (SPA) that was used to build it take neurotransmitters into account? In the book How to Build a Brain, various inhibitory and excitatory ...
3
votes
1answer
31 views

How well does the NEF capture neuronal heterogeneity?

From what I understand of the Neurogical Engineering Framework (NEF), groups of neurons are used to compute functions. However, I'm not clear if these calculations take into account neurons of ...
3
votes
0answers
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: ...
3
votes
0answers
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
votes
0answers
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 ...
3
votes
1answer
258 views

Limitations of Neural Engineering Framework (NEF)

All frameworks have limitations. Although I ask a lot of questions on this site in regards to the advantages of the Neural Engineering Framework (NEF), there must be significant limitations. What are ...
3
votes
0answers
31 views

SaccadeAngular velocity Matlab [closed]

I have the data for a monkey's eye position in a cartesian plane synced to the time. I can convert the numbers into polar form however I'm not too sure how to find the angular velocity at that point. ...
3
votes
0answers
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) ...
3
votes
0answers
59 views

How to derive the generalization bounds for the classical perceptron model? [closed]

I thank all the commenters for the valuable feedback. I'm trying to improve this question (which I had long ago -- omg I'm getting old). Is there a way to simply derive the generalization bounds for ...
3
votes
0answers
229 views

How much information does the somatosensory system produce? [closed]

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 ...
2
votes
2answers
169 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 ...
2
votes
2answers
145 views

How many action potentials from presynaptic neurons would be required to make a postsynaptic neuron fire?

I am looking for a rough estimation of the number of action potentials from other neurons required to cause a neuron to fire? I read here that a potential of ~ -55mv must be reached before an action ...
2
votes
2answers
581 views

Diffrence between SSVEP and P300

I have read about SSVEP and P300 as different subjects. But its seems that they are related to each other. Is P300 a kind of SSVEP?
2
votes
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 ...
2
votes
2answers
248 views

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 ...
2
votes
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 ...
2
votes
1answer
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.
2
votes
1answer
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 ...
2
votes
1answer
214 views

what is the “trial-averaged neural response function”?

i'am currently reading " theoretical neuroscience by dayan abbott" and it says " If we ignore the brief duration of an action potential (about 1 ms), an action potential sequence can be ...
2
votes
1answer
78 views

What are the neurobiological factors associated with intelligence in animals?

For example, is there a well-defined relationship between "number of neurons in the cortex" and some measure of "intelligence" in animals? I'm familiar with the encephalization quotient - that is, "...
2
votes
1answer
89 views

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 ...
2
votes
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 $t_i+\Delta t$ ...
2
votes
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 ...
2
votes
1answer
99 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 ...
2
votes
1answer
56 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 ...
2
votes
1answer
44 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. "...
2
votes
1answer
44 views

What coding scheme does NEF use? Rate or phase?

There is a long-standing debate in theoretical neuroscience about what information of spikes is most important: rate or phase? What stance does the NEF take on this manner?
2
votes
1answer
64 views

During synchronized waves oscillation (alpha beta etc…) do neurons fire only once for each wave cycle?

Or can they fire few times then pause and again, firefew times and pause periodically? If the second case happens then do we know if the neurons that fire in synchronity fire the same number of ...
2
votes
1answer
31 views

Do synapses have special types?

I assume synapses/dendrites/axons are relations which connect one entity/neuron to another, for example: a car is a vehicle: "is" relation Bob has a sister: "has" relation etc. I would just imagine ...
2
votes
2answers
134 views

Possibility of increasing brain speed

In science fiction stories, we often see the use of virtual reality, a 3d world that allows you to actually 'be' there. The writers often use a pod or helmet to signify the use of some sort of ...
2
votes
1answer
90 views

Benefits of using more complicated neuron models in NEF models

The NEF allows you to use almost any neuron model as long as it has an equation for it's activity and it's spikes in some way. Usually, a simple leaky-integrate-fire (LIF) neuron model is used, but ...
2
votes
1answer
500 views

Overview of Pitts & McCullough (1943) “A logical calculus of the ideas immanent in nervous activity”

Is there a good tutorial or simplified overview of the paper, 'Logical calculus for nervous activity' (McCullough & Pitts, 1943)? Reference McCullough, W. S., & Pitts, W. (1943). A logical ...
2
votes
1answer
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 ...
2
votes
1answer
66 views

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, ...
2
votes
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 ...
2
votes
1answer
140 views

How do neurons limit their input current?

I know that many neurons have an input current-spiking frequency (I-F) relationships, e.g. as seen here. However, all the I-F curves I've encountered show the input current in a fairly small range (...
2
votes
1answer
52 views

Determining the position of the calcium ion in the three dimensional space

Is it possible to determine the position of a single calcium ion or its population in the context of a three dimensional space with relatively good time frequency, say 1 Hz, taking into account ...
2
votes
0answers
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 ...
2
votes
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 ...