Net Force Moving Target
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Net Force: Moving Target
A NEW BATTLE IS BREWING—ONE THAT WILL SOON RAGE ACROSS ALL POLITICAL AND GEOGRAPHIC LINES. As this new threat escalates, the US president calls on the members of Net Force to prevent global chaos. In Paris, the leader of a new political movement has gone into hiding, pursued by a relentless group of bioenhanced assassins. Seeking to rescue him in the mysterious catacombs beneath the city is one of Net Force’s own, Kali Alcazar, who has become a hunted fugitive herself. Halfway across Europe, meanwhile, her friends are about to strike at the heavily armed fortress of the world’s most dangerous hacker…and he's prepared a deadly trap for them. “Jerome Preisler takes us deep into the dark side of the web.” —Jim DeFelice on Net Force: Attack Protocol “A tightly woven, expertly crafted story with a finger on the pulse of the overwhelmingly clear and present danger of cyberterrorism.” —Marc Cameron on Net Force: Dark Web
Force and Motion
Jason Zimba offers a new visual presentation of Newton's three laws of motion, allowing students a new perspective on the conceptual underpinnings of laws that fundamentally explain the workings of the universe.
From Neuron to Cognition via Computational Neuroscience
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille