MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience
This example is illustrated in Figure 27.1C and D. ... We focus on the Neyman–Pearson and minimum error criteria. A Neyman–Pearson ideal observer is one that maximizes the probability of detection PD for a fixed value, say α, ...
The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering.
This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits.
This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism ...
Cov(X,Y) σXσY Cor(X,Y) = where σX and σY are the standard deviations of X and Y. This is also often called the Pearson correlation, after Karl Pearson who studied extensively this and other measures of association.1 The correlation is ...
This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them.
This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals.
Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB.
2.14 (A) MATLAB Figure Window produced with program wilsoneuler.m with different integration time steps Δt. (b) Results of the program wilson.m that solves the same model with a higher-order ODE solver. two results in the spike train ...
This book enables the reader to: Analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs Implement a structured program design in MATLAB, making good use of incremental ...