For questions about mathematical and computational neuroscience.

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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 ...
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0answers
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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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2answers
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Understanding neuronal firing in the context of Spike Timing Dependent Plasticity

When discussing Spike Timing Dependent Plasticity in neurons, when we say that a neuron fires do we mean it fires only one spike? Or do we still say "the neuron has fired" when a train of n spikes was ...
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1answer
24 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 ...
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1answer
56 views

What is known about the information that's passed upwards within the neocortex?

The neocortex is likely to process sparse representations in a hierarchy with information close to the raw sensor input appearing in lower levels and abstract concepts being appearing in higher levels....
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1answer
97 views

What functional purpose does a cortical column serve?

The Blue Brain project led by Henry Markram focused on simulating cortical columns under the idea they form basic processing units of the brain/cognitive function. What functional purpose does a ...
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61 views

Increasing pitch perception of the same auditory stimuli

I was trying to work up a small clip of repeating beep sounds I recorded from a mobile game. This series of sounds, when played, gave an unmistakable perception of increasing pitch with every ...
2
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1answer
27 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. ...
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17 views

How does hPES describe STDP?

Spike-Timing-Dependent Plasticity is believed to be how neurons change their connection weights and thus change what functions they are computing. From Towards Biologically Plausible Deep Learning: ...
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4answers
284 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 ...
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1answer
62 views

Can dendrite spines fire action potential toward the soma?

I am confused about how the signal propagates from the dendrite spines toward the soma. I believe it is commonly taught that the signal diffuses "passively", i.e. electrostatically with no ...
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2answers
92 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 ...
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2answers
111 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 ...
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1answer
32 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} = ...
3
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1answer
92 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 ...
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0answers
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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 ...
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2answers
50 views

Color and shape arriving together in visual system

I know that in the visual cortex there are separate visual pathways for both color and shape. Do these separate pathways imply that human beings become consciously aware of these features separately ...
4
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1answer
92 views

Interpretation & Actual Result of “10% of your brain” Myth

It is well known that the common myth that an individual only ever uses 10% of their brain is.. well, a myth. I had a question about a possible interpretation of this idea, and a follow-up question ...
3
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1answer
22 views

Can anyone see what is wrong with this implementation of the Pinsky-Rinzel model in Brian2?

Not sure if this is the right place to ask this but I've been attempting to implement the Pinsky-Rinzel model in the Brian2 simulator. I'm basing my implementation off the original article here: http:/...
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1answer
69 views

How does a human classify or cluster data?

Here, what I mean by DATA are text documents. I am going to do a research on text clustering algorithms by the help of artificial neural networks (ANNs). But first of all I need to know how our brain ...
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0answers
48 views

Why cerebellar input fibers use 2 ways to send a siganl to DCN?

Both groups of input fibers of cerebellum (mossy, climbing) start 2 pathways: 1) project directly to the deep nuclei 2) project to cerebellar cortex, which then (after some processing) sends ...
3
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1answer
46 views

How does hPES compare to the learning rates of ANNs?

The primary learning mechanism of artificial neural networks (ANN) is back-propagation, which is not biologically plausible. Trevor Berkolay created an alternative to this learning with the ...
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0answers
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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. ...
4
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1answer
34 views

Neurophysiological mappings of empathy

What biologically plausible models are there of empathy? I know there has been a significant amount of work in defining emotion on a neurophysiological basis using models (I'm currently reading this ...
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2answers
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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 ...
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2answers
122 views

What research has been done on brain-to-brain interfaces?

Is there an existing research area focusing on brain to brain interfaces? If so, what are some papers that have been published in this area?
3
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1answer
26 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 (...
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1answer
81 views

Does a recent general review of recurrent neural networks exist?

Does anyone know of a comparatively recent paper reviewing the literature on psychological applications of recurrent neural networks? I'm looking for a paper which provides a general overview of the ...
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3answers
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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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0answers
15 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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1answer
76 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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2answers
79 views

Biologically plausible cognitive model of Wisconsin card sorting task

As discussed previously, there are a wide range of models that have been applied to the Wisconsin card sorting task. However, which one is most biologically plausible? That is, uses a realistic model ...
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0answers
27 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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2answers
107 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 ...
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3answers
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In what ways can neurons fire randomly?

When developing a model of a biologically-plausible neural network, it is important to know all the circumstances under which neurons can fire. But, I am limiting this question to random firing. In ...
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1answer
354 views

Cosyne vs CNS conferences for Computational Neuroscience?

While Googling, I noticed there are 2 conferences for computational neuroscience: Cosyne and CNS. My questions are: 1) What are these conferences' differences in terms of material & impact/size? ...
12
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1answer
235 views

What explains variability in the mean firing rate across biological neurons?

Biological neurons have a trade-off between high information transfer (high firing rate) and energy conservation (low firing rate). One would suspect that the maximization of this function has a ...
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1answer
73 views

Does an action potential abolish an excitatory postsynaptic potential?

From some sources, I've read that excitatory postsynaptic potentials (EPSPs) decay over time, which would imply that they aren't abolished by action potentials. However, other sources seem to indicate ...
3
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1answer
34 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 ...
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0answers
39 views

Is it necessary to read signals and systems before statistical signal processing/ detection theory [closed]

For one who is interested in computational neuroscience and brain computer interface, in university curriculum (e.g. BCCN Berlin), it requires a course in statistical signal processing / signal ...
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2answers
81 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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2answers
60 views

How do humans learn to combine tasks?

I've been reading about hierarchical learning (a variant of reinforcement learning from what I understand) and how it is shown to allow learning of a higher-level task (the main example is assembly). ...
9
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2answers
185 views

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 ...
4
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1answer
54 views

Does Spaun's serial memory exhibit proactive interference and serial searching

Xuan Choo recentely created a model of serial working memory for Spaun. Does this model of working memory exhibit the effects of proactive interference (as well as changing data types yielding freedom ...
9
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4answers
969 views

What are the mathematical models of memory?

Are there mathematical models of memory in humans or animals? I want to know how neuroscientists use mathematics to describe memory in living creatures. How do neuroscientists model memory and show ...
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0answers
28 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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1answer
40 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 ...
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0answers
24 views

A simple derivation of the generalization bounds for the classical perceptron model

I'm basically referring to the great work of Elizabeth Gardner in this matter. I find that her work is often overlooked in the field of neuroscience, arguably because it is too difficult to understand ...
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1answer
31 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 ...
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227 views

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, ...