Questions tagged [theoretical-neuroscience]

For questions about mathematical and computational neuroscience.

Filter by
Sorted by
Tagged with
4
votes
1answer
957 views

What are the advantages of 2AFC in a psychophysical discrimination task?

As far as I understand. In the task of Two alternative forced choice (2AFC), given two possible stimuli, $S1$ or $S2$, the subject has to decide weather he\she (it) saw the sequence $(S1,S2)$ or the ...
4
votes
1answer
187 views

Delay time of Transmitting the information from one neuron to another in brain

Inside the brain the electrical signals are transmitted from one neuron to another by using special chemicals, called "neuro-transmitters" from the axon terminals. Could anyone can tell me how to ...
4
votes
1answer
158 views

Is neurogenesis driven by prediction error?

Various Deep Learning algorithms [1] and neural models [2] make use of neurogenesis to reduce prediction errors. How much evidence is there that neurogenesis is driven by prediction error or novel ...
4
votes
1answer
184 views

Biological plausibility of RBMs

How biologically plausible are Restricted Bolztmann Machines (RBMs) and their stacked equivalent Deep Belief Networks (DBNs)? I know that Deep Learning (DL) in general isn't considered biologically ...
4
votes
2answers
81 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). ...
4
votes
1answer
77 views

What is the consequences to be a person who works in theory of science?

this question rises into my head this day. First I read the comment by @mikeazo he says Do you learn best by reading or doing? That will make a difference. Also, today I had a class in ...
4
votes
2answers
119 views

What does it mean when we say that “a neuron connects to a certain cortical layer”?

For example, if we say "a neuron connects to Layer V of the cortex", does it mean it synapses inside layer V, or does it imply that the soma of the neuron it synapses to is in Layer V (and it could ...
4
votes
1answer
40 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:/...
4
votes
1answer
118 views

Integrated Information Theory - If correct could humans create artificial consciousness?

First off please keep in mind I am self-learning and am learning about this for fun, I have no end goal. I'm trying to make predictions about what I am learning implies or means, so I can ask better ...
4
votes
1answer
58 views

What models/mechanisms exist for the brain to chain movements together?

Motor Sequence Learning is the study of the cognitive ability to chain various motor sequences together. The most intuitive example of this is learning to play a sequence of notes on a piano. ...
4
votes
1answer
314 views

Does the human visual system implement (adaptive) histogram equalization?

The human visual system is very good at 'cancelling out' shadows and other lightning effects, and focusing on the contrast in images. A famous example of this is Adelson's checker shadow illusion: In ...
4
votes
1answer
76 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....
4
votes
1answer
128 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 ...
4
votes
1answer
48 views

Where do spatial dimensions enter in single compartment neuronal models?

I am trying to understand how the length and diameter of a compartment are specified. For example, in the Hodgkin–Huxley model, we only have conductances specified in $\rm mS/cm^2$. How do you specify ...
4
votes
1answer
53 views

Can the Hodgkin-Huxley neuron incorporate desensitization?

I'm studying a neuron in an organism that has the following properties: The neuron's output voltage is dependent on the strength of the stimulus, if that stimulus is applied and removed without any ...
4
votes
1answer
43 views

Why is positive semi definiteness a sufficient condition for Lyapunov stability of the Hopfield networks?

For a given Hopfeild network : $\tau\frac{dx}{dt} = -x + f(Wx + b) $ a general Lyapunov stability function for Hopfeild networks is : $L(x) = -\frac{1}{2}x^TWx + b^Tx + F(x)$ where $F(x) = \int^{...
4
votes
1answer
40 views

Extra-classical receptive fields are surprising, but retinal ganglion receptive fields are not. Why?

Rao and Ballard (1999) start their paper by stating that extra-classical receptive fields, which exhibit the phenomenon of end-stopping are difficult to explain. They show that in an idealized ...
4
votes
0answers
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 ...
4
votes
0answers
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 ...
4
votes
0answers
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
votes
0answers
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 ...
3
votes
2answers
94 views

Can “fire together, wire together” be undone?

Are new connections continuously forged in the adult human brain, or do we just start all wired together and then prune until we have something we like?
3
votes
3answers
535 views

What are some credible conferences and journals in computational neuroscience?

I have a background in computer science, and I wish to introduce cognitive sciences to myself, particularly from a computational/mathematical perspective. My motivation for doing this artificial ...
3
votes
2answers
205 views

Can a biological entity be thought as a simple algorithm? Case-study with the concept of randomness

John Von Neuman believed that all organisms can be though of as information-processing systems. He built on the work of Alan Turing (algorithmic) to create simulations of biological entities. This ...
3
votes
2answers
65 views

Simulating Hudgkin Huxley neural network

I'm starting work on a computational neuroscience project where I want to create my own model of a spiking Hodgkin-Huxley neuron and connect many instances (about 400) of this model through synapses. ...
3
votes
1answer
74 views

Can information be lost while traveling through neurotransmitters?

Can information be lost while traveling through neurotransmitters, if so then why? If information can be lost while traveling then is it possible to retransmit them and put back in order? For example ...
3
votes
1answer
69 views

How to define “current” in artificial neural network?

How do neuroscientists define current/current densities in artificial neural networks? Assume I have some deep network and I would like to study its dynamic/evolution in time during the training ...
3
votes
1answer
101 views

What extent is non linear dynamics and chaos helpful to study brain function?

Recently I've started reading dynamical systems in neuroscience by izhikevich and was fascinated by the subject. I would like to pursue PhD in computational neuroscience after my masters. Is it worth ...
3
votes
1answer
46 views

How long can neuron adaptation last?

One way to model a neuron which adapts to input current is an Adaptive LIF [1]. In this model, the input current is subtracted by $n$, which changes with $dn=\frac{-n}{\tau_n}dt$ [2] and $n$ is ...
3
votes
1answer
62 views

Learning In Retina

Most of the sources studying retina seem to suggest that retinal connectome is hardwired and species dependent (like specialized vertical movement detector in small rodents). I couldn't find a single ...
3
votes
1answer
98 views

How do the motor system and Central Pattern Generators interact?

Central Pattern Generators are populations of neurons found in the spinal chord that assist in the creation of rhythmic movements. See "Human spinal locomotor control is based on flexibly organized ...
3
votes
1answer
74 views

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?
3
votes
2answers
68 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 ...
3
votes
1answer
219 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
91 views

What are the neurological similarities between humans and primates?

I don't know exactly what primate specie is considered to be out ancestor. But the next question regards them. Assuming that in the beginning *we considered true the remnants of many trial & ...
3
votes
1answer
71 views

Difference between brain and electronic device signals

As I understand it, a brain communicates through sending signals via ions and chemical reactions resulting in concentrations of ions, a computer sends signals by electrons. I'm really trying to do 3 ...
3
votes
1answer
55 views

Voltage-dependent ion channels as operators

Does it make sense (or is even the standard approach) to model mathematically a voltage-dependent ion channel not as a function, that maps a voltage to a conductance ($f:\mathbb{R}\rightarrow \mathbb{...
3
votes
1answer
106 views

The role of high-performance in neuropsychology

As far as I understand, neuropsychology gains most of its insights from the reconciliation of lesions of the brain and cognitive impairments. Normal functioning (both of the brain and the mind) plays ...
3
votes
1answer
1k 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 ...
3
votes
1answer
56 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 ...
3
votes
1answer
61 views

Is there a research field which holds close connections between computational neuroscience and classical robotics

Is there a research field which holds close connections between computational neuroscience and classical robotics, particularly building corresponding robots to implement and test the theories from ...
3
votes
1answer
106 views

Neuroscience student [closed]

I'm thinking about studying neuroscience, but the only interests I have in the general area are: Where thought or consciousness come from and how it all works How memory works and why it can't be ...
3
votes
1answer
65 views

What are “linear spatial weightings” and “specific temporal windows” in Philiastides & Sajda (2006)?

I am undergraduate student in mathematics and a complete beginner in the field of neuroscience. I recently started a project in Mathematical biology which brought me to the above mentioned paper. I ...
3
votes
1answer
324 views

Ligand-gated ion channels as operators

Isn't there a perfect analogy between ligand-gated and voltage-gated ion channels considered (mathematically) as (non-linear) operators, mapping one function (of time) to another one? Voltage-gated ...
3
votes
1answer
87 views

Biological Plausibility of FORCE training

In "Supervised Learning in Spiking Neural Networks with FORCE Training" by Wilten Nicola and Claudia Clopath. The authors create a learning rule for learning non-linear dynamics from populations of ...
3
votes
1answer
287 views

Why is PES biologically plausible?

The NEF puts great emphasis on biological plausibility. However, I'm not clear on why the Prescribed Error Sensitivity (PES) learning rule, used in many NEF-based models, is considered to be ...
3
votes
1answer
2k views

What's the difference between a Hamming and Hopfield network?

I have recently discovered that both Hamming and Hopfield networks are both content addressable memories. However, what is the difference between these two networks designs and their performance?
3
votes
1answer
47 views

Using a Linear Non-linear Cascade with a Non-Random (deterministic) Stimulus

I'm attempting to use a computational model, in particular a linear non-linear cascade (LNP) to encode the spiking of a neuron responding to a thermal stimulus. In a LNP, it assumes that the stimulus ...
3
votes
1answer
59 views

Problems with parameterizing neuronal simulation on a limited number of datasets

I'm hoping to contribute to the OpenWorm project by helping their efforts to parameterize the neurons in CElegans so the model elicits biologically realistic behavior. The problem is I've got only ...
3
votes
2answers
42 views

Models relating neuron firing to oscillatory dynamics

Many papers published seem to focused on oscillations to characterize synchronisation and communication between different brain areas. For example, this paper from Voytek et. al where communication ...