For questions about mathematical and computational neuroscience.

learn more… | top users | synonyms

4
votes
1answer
91 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
votes
1answer
20 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: ...
1
vote
1answer
129 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 ...
5
votes
1answer
61 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 ...
5
votes
0answers
46 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
votes
1answer
45 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 ...
3
votes
0answers
12 views

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. ...
4
votes
1answer
33 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 ...
3
votes
2answers
42 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 ...
9
votes
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
votes
1answer
24 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 ...
9
votes
1answer
79 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 ...
30
votes
3answers
1k views

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 ...
3
votes
0answers
14 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) ...
1
vote
1answer
75 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 ...
7
votes
2answers
78 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 ...
1
vote
0answers
20 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 ...
2
votes
2answers
90 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 ...
12
votes
3answers
984 views

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 ...
6
votes
1answer
326 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
votes
1answer
234 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 ...
9
votes
1answer
72 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
votes
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 ...
1
vote
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 ...
8
votes
2answers
79 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 ...
3
votes
2answers
59 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
votes
2answers
171 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
votes
1answer
50 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 ...
8
votes
4answers
921 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 ...
2
votes
0answers
26 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 ...
2
votes
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 ...
3
votes
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 ...
0
votes
1answer
28 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 ...
5
votes
2answers
217 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, ...
9
votes
4answers
908 views

How to read a neuron tuning curve graph?

I'm working through the tutorial of section 2.4 of "How to Build a Brain" and I've encountered this graph of a neuron tuning curve. I understand the Y axis is the firing rate of the neuron, that ...
3
votes
2answers
59 views

What aspects of ACT-R are not contained within Spaun?

ACT-R was the first big cognitive model and excels at modelling human behavioral data quite accurately. Spaun, which is the world's largest functional brain model, took a lot of ACT-R's insights and ...
3
votes
0answers
43 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
votes
1answer
338 views

What are presynaptic puncta?

What are presynaptic puncta? And what makes them different from presynaptic terminals?
3
votes
0answers
43 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 ...
16
votes
7answers
4k views

Difference between parallel processing done by human brain and by computers

I am asking a question regarding parallel processing as done by billions of Neurons inside our brain and parallel processing done by our computers in a cluster for example or even on a Graphics ...
7
votes
3answers
359 views

Research groups in Computer Science which study Computational Neuroscience

I am currently applying to graduate programs in Computer Science in the United States for admission next fall. I am particularly interested in the convergence of Computer Science and Computational ...
5
votes
1answer
53 views

What's the functional difference between the NEF and normal ANNs?

Aside from obvious biological plausibility, from a computational standpoint, what's the motivation of using the Neural Engineering Framework (NEF) instead of Artificial Neural Networks (ANNs) for ...
10
votes
2answers
191 views

Computational Model Linking Neural Activity to Behavior

A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local ...
3
votes
1answer
94 views

Relation between Nengo, SPA and NEF with respect to other Neural Models

I'm working through How to Build a Brain and I keep getting confused on the relation between Nengo, the Semantic Pointer Architecture (SPA) and the Neurological Engineering Framework (NEF). Are there ...
3
votes
1answer
21 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
20 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 ...
2
votes
0answers
103 views

Differences between the many versions of neuromorphic hardware [closed]

There is a ton of neuromorhpic hardware being pumped out these days. Off the top of my head, I can name IBM (BlueGene and TrueNorth), Qualcomm, Neurogrid, Brainstorm (Neurogrid 2.0), Spinnaker, ...
2
votes
0answers
21 views

What is the most unified functional model of the hippocampus?

There are many different incremental models of the hippocampus and it's role in learning as shown by a quick search. However, have there been any efforts to combine these various models into a single ...
5
votes
2answers
218 views

Measurement of phase difference between two signals using cross correlation vs. fourier transform

I am studying eeg signals with the aim of distinguishing between preictal and interictal epilepsy states based on the eeg signal. I have read some papers and one of the metrics used to distinguish ...
-1
votes
1answer
54 views

Prerequisite Request: Neurorobotics [closed]

For the newly emerging field, Neurorobotics. Can one list several highly recommended prerequisite courses prior to entering this field ? Except for classical machine learning, computational ...