For questions about mathematical and computational neuroscience.

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What causes thought?

From what little I know about brains, they are powered by electrical pulses being sent to specific neurons, which in turn send it to corresponding nerves. But I'm curious on the science behind ...
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When we say signals go from one cortical area to an other one do we mean they go directly without going through the thalamus for example?

Or is it implied signals always have to go back and forth between the thalamus and the cortex? Or is it possible they do both at the same time? Or maybe for areas next to each others they can go ...
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1answer
34 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 ...
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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
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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 ...
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1answer
14 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
35 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 ...
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0answers
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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 ...
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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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1answer
49 views

Is there a neural network model of Pavlovian Learning?

I am trying to find a computer simulation of Pavlovian learning. i.e. an action such as salivation in response to a stimulus such as a bell ringing. Most neural network models I've seen seem to be ...
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4answers
196 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
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Do dissolving myelinated connections explain learning?

In order to understand how we get rid of established habits/behavior: Can myelinated connections be dissolved or are new connections created that bypass those connections?
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1answer
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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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3answers
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In what ways do our brains use compression?

I am reading a book on information theory and one line in the book states that "Brains are the ultimate compression and communication systems." However, there is no further elaboration on the matter. ...
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51 views

How much of brain power consumption is for information

As previously answered on this site, the brain uses 20W of power. However, how much of this power consumption is for information processing and how much of it is for maintenance of biological ...
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2answers
84 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
108 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
25 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} = ...
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1answer
72 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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1answer
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Neuroanatomical mapping of production compilation

ACT-R and Spaun map their production rule system onto the the basal ganglia and thalamus. However, I haven't been able to find how ACT-R maps production rule compilation onto the basal ganglia or ...
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2answers
48 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 ...
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1answer
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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: ...
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1answer
84 views

How many possible states does a brain have?

Suppose I have a box, inside of which is a light which can be either on or off: it has exactly two states. Suppose I wanted to take some "snapshot" of the state of this device, and store all the ...
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0answers
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Is semantic pointer architecture compatible with a predictive coding account of the brain?

Both SPA (Eliasmith et al.) and predictive coding (Friston, Clark, Rao, et al.) seem to have a lot of explanatory power. My understanding of SPA is probably rudimentary, but Eliasmith and others ...
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1answer
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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 ...
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1answer
51 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
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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 ...
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SaccadeAngular velocity Matlab

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. ...
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1answer
31 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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1answer
35 views

Is cortical magnification in the visual system related to synaptic pruning, or is it a separate developmental or learning process?

I'm primarily interested in learning about current computational models that explain cortical magnification in the visual system. With this in mind, my specific questions are: (1) Is this phenomenon ...
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2answers
37 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 ...
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1answer
120 views

How long does the trace of a memory last in the brain?

With long-term plasticity one refers to the phenomen by which synapses are modified by neural activity and these modifications last for long times, a day perhaps of the order of days. This phenomenon ...
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1answer
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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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0answers
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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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0answers
18 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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1answer
71 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 ...
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1answer
76 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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2answers
107 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?
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0answers
23 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
42 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 ...
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1answer
32 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
64 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 and planning a path for writing those digits back out. Can ...
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0answers
51 views

What are some good references for preprocessing and analysis of the P300 response from EEG data in Python?

I have just started to work on problems in neuroscience on my own. I sought to analyze the P300 response from EEG data because I was trying to understand a Kaggle.com challenge that used it. I found ...
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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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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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0answers
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Do studies exist that can map specimens of neocortex to the functions they perform(ed) in vivo?

Much brain research has proposed that the brain (the neocortex, esp.) is set up in areas - an area for faces, an area for language, etc.. The experiments typically go 1) damage an area 2) observe ...
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1answer
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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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2answers
196 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, ...