User contributions for Davrot
From Master of Neuroscience Wiki
23 October 2025
- 13:1213:12, 23 October 2025 diff hist +48 Task 1 --Mandatory Tasks →2 current Tag: Visual edit
- 13:1113:11, 23 October 2025 diff hist +1,139 N Task 1 --Mandatory Tasks Created page with "=== 2 === (done with RK45) ==== leaky integrate-and-fire neuron (LIAF) ==== <div class="figure"> File:30 0.png </div> == quadratic integrate-and-fire neuron (QIAF) == <div class="figure"> File:30 1.png </div> == the conductance-based Connor-Stevens neuron == <div class="figure"> File:30 2.png </div> == exponential integrate-and-fire neuron (EIAF) == <div class="figure"> File:30 3.png </div> == rate-based MT neuron (DivInE model) == <div class="figure..." Tag: Visual edit
- 13:1013:10, 23 October 2025 diff hist +5 N File:30 10.png No edit summary current
- 13:1013:10, 23 October 2025 diff hist +4 N File:30 8.png No edit summary current
- 13:0913:09, 23 October 2025 diff hist +4 N File:30 6.png No edit summary current
- 13:0913:09, 23 October 2025 diff hist +5 N File:30 11.png No edit summary current
- 13:0913:09, 23 October 2025 diff hist +4 N File:30 9.png No edit summary current
- 13:0813:08, 23 October 2025 diff hist +4 N File:30 7.png No edit summary current
- 13:0713:07, 23 October 2025 diff hist +4 N File:30 5.png No edit summary current
- 13:0713:07, 23 October 2025 diff hist +4 N File:30 4.png No edit summary current
- 13:0613:06, 23 October 2025 diff hist +4 N File:30 3.png No edit summary current
- 13:0613:06, 23 October 2025 diff hist +4 N File:30 2.png No edit summary current
- 13:0613:06, 23 October 2025 diff hist +4 N File:30 1.png No edit summary current
- 13:0513:05, 23 October 2025 diff hist +4 N File:30 0.png No edit summary current
- 13:0213:02, 23 October 2025 diff hist +1,276 N References Created page with " [Bruns, 2004] Bruns, A. (2004). Fourier-, Hilbert-and Wavelet-based signal analysis: are they really different approaches? Journal of Neuroscience Methods, 137(2):321–332. [Grothe et al., 2012] Grothe, I., Neitzel, S. D., Mandon, S., and Kreiter, A. K. (2012). Switching neuronal inputs by differential modulations of gamma-band phase-coherence. Journal of Neuroscience, 32(46):16172–16180. [Grothe et al., 2018] Grothe, I., Rotermund, D., Neitzel, S. D., Mandon, S.,..." current Tag: Visual edit
- 13:0113:01, 23 October 2025 diff hist +3,835 N Connor Stevens Created page with "== Main equations == <math display="block">c_m \frac{d V}{dt} = -i_m + \frac{I_e}{A}</math> <math display="block">\tau_m(V) \frac{d m}{dt} = m_{\infty}(V) - m</math> <math display="block">\tau_h(V) \frac{d h}{dt} = h_{\infty}(V) - h</math> <math display="block">\tau_n(V) \frac{d n}{dt} = n_{\infty}(V) - n</math> <math display="block">\tau_a(V) \frac{d a}{dt} = a_{\infty}(V) - a</math> <math display="block">\tau_b(V) \frac{d b}{dt} = b_{\infty}(V) - b</math> <math d..." current Tag: Visual edit
- 13:0013:00, 23 October 2025 diff hist +440 N Quadratic Integrate-and-Fire Created page with "<math display="block">\tau \frac{d}{dt}u=a\_{0} (u-u\_{rest}) (u-u\_{c})+RI</math> Default parameters: <math display="inline">\tau=10</math> ms, <math display="inline">a\_{0}=0.1 mV^{-1}</math>, <math display="inline">u\_{c} = -55</math> mV, <math display="inline">u\_{rest} = -70</math> mV, <math display="inline">R=10 M\Omega</math>, <math display="inline">I=2.2 nA</math>, firing threshold <math display="inline">u\_{thr}=-40 mV</math>." current Tag: Visual edit
- 13:0013:00, 23 October 2025 diff hist +500 N Exponential Integrate-and-Fire Created page with "<math display="block">\tau{{\text{d}}\over{\text{d}}t}u=-(u-u_{\rm rest})+\Delta_{T}\,\exp\left({u-\theta_{rh}\over\Delta_{T}}\right)+R I</math> Default parameters: <math display="inline">\tau=10</math> ms, <math display="inline">\Delta_T=3</math> mV, <math display="inline">\theta_{rh} = -50 mV</math>, <math display="inline">u_{rest} = -65</math> mV, <math display="inline">R=10 M\Omega</math>, <math display="inline">I=2.2 nA</math>, firing threshold <math display="inlin..." current Tag: Visual edit
- 12:5912:59, 23 October 2025 diff hist +351 N Leaky Integrate-and-Fire Created page with "<math display="block">C \frac{dV}{dt} = -g_{\rm leak}(V-V_{\rm rest})+I</math> Default parameters: <math display="inline">C=1</math> nF, <math display="inline">g\_{leak}=1/(10 M\Omega)</math>, <math display="inline">V\_{\rm rest} = -70</math> mV, <math display="inline">I=2.2</math> nA, firing threshold <math display="inline">V\_{thr}=-50</math> mV." current Tag: Visual edit
- 12:5812:58, 23 October 2025 diff hist −38 DivInE-model for MT neurons →DivInE-model for MT neurons current Tag: Visual edit
- 12:5812:58, 23 October 2025 diff hist +1,384 N DivInE-model for MT neurons Created page with " = '''DivInE'''-model for MT neurons = This model is also termed '''DivInE'''-model, since it describes the adaptive response properties of MT neurons by means of divisive normalization, for more detailed info see also [https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009595 this paper]: <math display="block">\tau_e \frac{dA_e(t)}{dt} = -A_e(t) + g_e\left( \frac{I(t)}{A_i(t)+\sigma} \right)</math> <math display="block">\tau_i \frac{dA_i(t)}{dt} =..." Tag: Visual edit
- 12:5612:56, 23 October 2025 diff hist +8 Task 2 -- Collective coherent cortices: Data analysis →1. current Tag: Visual edit
- 12:5512:55, 23 October 2025 diff hist +12,087 N Task 2 -- Collective coherent cortices: Data analysis Created page with "== Background == In this exercise, we will investigate physiological recordings from visual areas V1 and V4. The experimental setting is comparable to the paradigm used in [https://www.jneurosci.org/content/38/14/3441 Attention selectively gates afferent signal transmission to area V4]: Each trial started with a baseline period of 500 ms without visual stimulus. Then two morphing shape sequences were presented for at least 1000 ms. The task for the animal was to attend..." Tag: Visual edit
- 12:5412:54, 23 October 2025 diff hist +6,855 N Task 1 -- Classycal neurons: Simulation and Mathematical Anaylsis Created page with "Simulating neurons is an ideal project for training systematic programming. Classes can be used to implement a hierarchy of different neuron models. Inheritance can be used to recycle common code for neurons that only minimally differ from each other. Methods can be defined for all the actions you can perform on neurons. In addition, this project will help you to train using type annotations and to organize your code into meaningful blocks or modules. Since some of the n..." current Tag: Visual edit
- 12:5212:52, 23 October 2025 diff hist +3,301 N Preperations Created page with "Relevant topics for the lectures are * Object Orientated Programming (i.e. Classes) * Type Annotation * Data Class * Error Handling Try/Except * Pandas * Low-Pass, High-Pass, Band-Pass * Wavelet (& Hilbert) * PCA, ICA, SVD, ROC, SVM, K-NN, K-Means * Symbolic Calculation with SymPy, Numerical mathematics (Differential equations, integration) * OpenCV2 Everything should be covered on this website. == Youtube == However, if you like to watch stuff: '''Object Orient..." current Tag: Visual edit
- 12:4912:49, 23 October 2025 diff hist +1,444 N S1 Advanced programming and data analysis Created page with "In this specialization course, you will work on two projects, one on simulation, and one on data analysis. The projects include <nowiki>'''</nowiki>mandatory tasks<nowiki>'''</nowiki>, which you have to solve in order to obtain the two study achievements: * '''Study achievement #1''': Write and hand in your commented Python code for the two projects. We will assess if your code runs correctly and produces meaningful results. * '''Study achievement #2''': We will randoml..." current Tag: Visual edit
- 12:4712:47, 23 October 2025 diff hist 0 Python Tutorial →S1: Advanced Programming (last update 16.02.2024) Tag: Visual edit
22 October 2025
- 16:3716:37, 22 October 2025 diff hist −32 2017: Natural scenes and sparse coding in visual cortex No edit summary current Tag: Visual edit
- 16:3516:35, 22 October 2025 diff hist 0 N File:Project rozell linear sup hp.png No edit summary current
- 16:3516:35, 22 October 2025 diff hist +9,559 N 2017: Natural scenes and sparse coding in visual cortex Created page with "'''Visual scenes are more than just a bunch of colored pixels: they are composed of numerous elementary components in complex arrangements, thus creating image patterns with a rich structure. How can our brain make sense of such a complex visual input and perform a meaningful computation such as recognizing objects or segregating a scene into foreground and background?''' '''One central hypothesis in Computational Neuroscience is that the visual system decomposes visual..." Tag: Visual edit
- 16:3316:33, 22 October 2025 diff hist +26 2017: Change detection: The DivInE-Model No edit summary current Tag: Visual edit
- 16:3116:31, 22 October 2025 diff hist 0 N File:Project divine data.png No edit summary current
- 16:3116:31, 22 October 2025 diff hist 0 N File:Project divine model.png No edit summary current
- 16:3016:30, 22 October 2025 diff hist +27 2017: Change detection: The DivInE-Model No edit summary Tag: Visual edit
- 16:2616:26, 22 October 2025 diff hist +5,954 N 2017: Change detection: The DivInE-Model Created page with "'''''In natural environments, changes in the sensory input can signal behaviourally important events. Think of a tiger suddenly leaping from its hiding place: can your brain detect this change in a natural scene in time, or will you be a delicious meal just a few moments later?''''' '''''Luckily, neural cirucits in the brain seem to have developed mechanisms which enhance changes in the sensory input thus allowing animals and humans to react more quickly. In this resear..." Tag: Visual edit
- 16:2516:25, 22 October 2025 diff hist +7,919 N 2017: Oscillations and information routing: CTC model Created page with "'''Oscillatory activity is ubiquitous throughout the brain and has been hypothesized to carry out multiple crucial functional roles, for example, a basic information routing mechanism. One of the proposed mechanisms, communication through coherence (CTC), postulates that stimulus information transmission is enhanced between oscillating neural populations in a favorable phase relationship, and suppressed otherwise (see [6] for in-depth overview). In this mini-project, you..." current Tag: Visual edit
- 16:2416:24, 22 October 2025 diff hist +11 N File:WC fig2 XYZ.png No edit summary current
- 16:2416:24, 22 October 2025 diff hist +4 N File:1CTC.png No edit summary current
- 16:2316:23, 22 October 2025 diff hist +232 2017: Computation Spike by Spike No edit summary current Tag: Visual edit
- 16:2116:21, 22 October 2025 diff hist +7,583 N 2017: Computation Spike by Spike Created page with "'''Perception is fast and accurate, despite the apparent stochasticity of neuronal activities in cortex. As an example, Thorpe and coworkers have shown that natural images are classified within less than 130 msec, thus requiring as few as only one spike per processing stage. In this project, you will investigate a novel generative model which is driven by stochastic spike trains. It can perform non-linear computations, solve typical classification problems, and represent..." Tag: Visual edit
- 16:2116:21, 22 October 2025 diff hist +5 N File:SBS B.png No edit summary current
- 16:2016:20, 22 October 2025 diff hist +5 N File:SBS A.png No edit summary current
- 16:1816:18, 22 October 2025 diff hist +6,596 N 2017: Contour Integration Created page with "'''The perception of visual scenes is a very important part in neural processing providing us with a multiplicity of information about our surroundings. For understanding the contents of complex scenes, the brain has to integrate simple local features into global and meaningful percepts. Identifying the computations necessary for building these percepts are a topic of ongoing scientific research. Moreover, the neural mechanisms underlying these computations are still lar..." current Tag: Visual edit
- 16:1816:18, 22 October 2025 diff hist +2 N File:Pc.png No edit summary current
- 16:1816:18, 22 October 2025 diff hist +8 N File:Stims 1d.png No edit summary current
- 16:1716:17, 22 October 2025 diff hist +9 N File:Stim bsp1.png No edit summary current
- 16:1616:16, 22 October 2025 diff hist +9,290 N 2020: Recurrent networks: Temporal dynamics and synchronization Created page with " = Recurrent networks: Temporal dynamics and synchronization = '''Synchronization and oscillations are collective phenomena which exist in many brain areas, and have been measured with a range of different recording techniques (EEG, MEG, intracortical recordings, optical imaging). It seems that precise temporal coordination is one of the key mechanisms underlying information processing in the brain. But how does synchronization emerge from the interplay of different neur..." current Tag: Visual edit
- 16:1616:16, 22 October 2025 diff hist 0 N File:Fig sync unstable.png No edit summary current
- 16:1516:15, 22 October 2025 diff hist +11,154 N 2020: Divisive Normalization -- a Universal Concept for Adaptive Dynamics and Function of Cortical Circuits Created page with "'''Neural computation is highly flexible and adjusts the spatio-temporal context of external stimuli and to the current behavioral task. This flexibility is an important aspect why squishy brains are under the rapidly changing conditions in daily life still superior to machines. Divisive normalization is a fundamental concept realizing an adaptive dynamics which has interesting functional consequences. For example, it can enhance changes in the sensory input: Think of a..." current Tag: Visual edit
- 16:1416:14, 22 October 2025 diff hist +9,884 N 2020: Deep Networks and Tensor Flow Created page with "'''When in our modern world a problem is too tedious or too complicated to solve, it is always a good idea to promise an AI solution to handle the problem for us. AI, short for Artificial Intelligence, is the information age’s word for magic. In this project, we will take a deeper look into machine learning. Machine learning is typically what the people on the street mean by AI. In machine learning, sophisticated algorithms extract the underlying statistical structure..." current Tag: Visual edit