# Courses

- Acquisition and Analysis of Neural Data
- Acquisition of neural data (1st semester): large scale signals (fMRI, Berlin EEG, MEG etc) and cellular signals, hands‐on experience with neural data acquisition techniques. Analysis of neural data (2nd semester): firing rates, spike statistics, spike statistics and the neural code, neural encoding, neural decoding, discrimination and population decoding, information theory, statistical analysis of EEG) data, spatial filters, classification, adaptive classifiers.
- Models of Higher Brain Functions
- Models of Neural Systems
- Stochastic Partial Differential Equations
- Stochastic Processes in Neuroscience
- Theoretical and Computational Neuroscience: Collective dynamics of biological neural Networks II
- Neural Networks and Information Processing
- Theoretical Neurosciences: Computational Neuroscience I
- Theoretical Neurosciences: Computational Neuroscience II
- Theoretical Neurosciences: Statistical Methods
- Computational Neuroscience
- Programming
- Advanced Course on Neural Data Analysis
- Introduction to Scientific Programming in Python with Application to Neural Data Analysis
- Neural Function I
- Neural Function II
- Neurophysics (Advanced Studies I)
- Neurophysics - Labrotation (Advanced Studies II)
- Neuro Dynamics (alternating with Neuro-informatics)
- Neuro-Informatics
- Probabilistic Modeling of Perception and Cognition
- Machine Learning I
- Machine Learning II
- Action & Cognition I
- Action & Cognition II
- Bayesian Statistics
- Cognitive Human-Computer Interaction
- Colloquium Computer Vision
- Colloquium of the Institute of Cognitive Science
- Colloquium of the PhD Programme
- Masters Thesis Project on Visual Perception
- Sensation and Perception
- Basics of Brain Connectivity
- Neuropsychiatric disorders
- Methods Academy “Multi-site Communication in the Brain”
- In vivo Electrophysiology
- Mathematical methods in the neurosciences
- Stochastic Dynamics and Spiking Networks
- Theoretical Neuroscience for Biologists I
- Theoretical Neuroscience
- Introduction to Computational Neuroscience
- Geometric and topological methods for the analysis of data in biology, neurobiology and other fields
- Computational Neuroscience: A Lecture Series from Models to Applications
- Fundamentals in Neuroscience
- Computational Neuroscience
- Theoretical Biophysics and Cellular Physiology
- The Neural Code
- Models of neural systems
- Neural Dynamics
- Computational Neuroscience - Introduction
- Machine Intelligence
- Statistical mechanics of neural networks
- Fundamentals of Computer Science for Neuroengineering
- Fundamentals of Mathematics for Neuroengineering
- Machine Learning I
- Machine Learning II
- Practical Short Course Methods for Computational Neuroscience
- Practical Course Methods in Functional Imaging
- Neuroscientific Data Analysis in Matlab
- Computational Foundations of Cognitive Science
- Machine Learning I
- Compartmental Modeling of Biophysically and Anatomically Realistic Neurons
- Models for Neural Circuit Development
- Systems Engineering Meets Life Sciences I
- Individual Project in Computational Neuroscience group
- Individual Project in Auditory Neuroscience group
- Introduction to Biological Data Analysis in Matlab
- Computational Neuroscience - Statistical Learning
- Invertebrate Neuroscience
- Communication Acoustics
- Neuroprosthetics
- Psychoacoustics and Audiological Applications
- Neural Experimental Techniques
- Ethics and Neuroscience
- Mathematics Prep-Course
- Neurobiology Prep-Course
- Computational Cognitive Modeling
- Applied Cognitive Modeling
- Advanced Seminar in Computational Neuroscience
- Seminar Neuronal Mechanisms of Vision
- Seminar Spatial and Temporal Cognition
- Information Dynamics/Information theoretic analysis of neural data
- ANDA: Advanced Course on Neural Data Analysis
- Theoretical Neuroscience – Correlation structure of neuronal networks
- Cortical Structure and Function
- Statistical Physics
- Einführung in Computational Neuroscience
- Modellierung von Wahrnehmung und Handlung
- Modeling Episodic Memory and Spatial Navigation
- Mathematical Psychology
- Nonlinear dynamics

- News
- Midsummer Brains - Computational Neuroscience from my point of view Mar 13, 2019
- Course catalogue Mar 12, 2019
- Cosyne 2019 Mar 12, 2019
- Student activities in January Jan 28, 2019
- Peter Dayan and Li Zhaoping join the faculty Jan 28, 2019

- Upcoming Events
- Bernstein Conference 2019 Sep 18, 2019 - Sep 20, 2019 — TU Berlin