Computational Neuroscience Stocks List

Computational Neuroscience Stocks Recent News

Date Stock Title
Nov 22 CRNC Cerence Earnings: The Worst Could Be Behind It
Nov 22 CRNC Cerence Stock: Persistent Risks Remain Despite Positive Q4 Earnings Results
Nov 22 BTAI BioXcel Therapeutics announces pricing of $7M public offering
Nov 22 BTAI BioXcel Therapeutics Announces Pricing of $7.0 Million Public Offering
Nov 22 CRNC Cerence Full Year 2024 Earnings: Revenues Beat Expectations, EPS In Line
Nov 21 BTAI BioXcel announces common stock and warrants offering, no amount given
Nov 21 BTAI BioXcel Therapeutics Announces Proposed Public Offering
Nov 21 CRNC Cerence Inc. 2024 Q4 - Results - Earnings Call Presentation
Nov 21 CRNC Cerence Inc. (CRNC) Q4 2024 Earnings Call Transcript
Nov 21 CRNC Earnings Snapshot: Cerence tops FQ4 estimates; initiates FQ1 and FY25 outlook below estimates
Nov 21 CRNC Cerence Non-GAAP EPS of -$0.07 beats by $0.31, revenue of $54.81M beats by $7.16M
Nov 21 CRNC Cerence Announces Fourth Quarter and Fiscal Year 2024 Results
Nov 21 CRNC Earnings Scheduled For November 21, 2024
Nov 20 ALAI Global-E Soars: Q3 Sales Surge 32%, FY24 Outlook Raised Amid GMV Boom
Nov 20 CRNC Cerence Q4 2024 Earnings Preview
Nov 20 SPAI Safe Pro Awarded US Patent for Disruptive AI Drone Imagery Technology, a Groundbreaking Innovation Helping to Protect Millions of Lives Globally
Nov 19 SPAI Safe Pro Group sees 200% Y/Y increase in Q4 revenue
Nov 19 SPAI Safe Pro Expects 200+% Year-Over-Year Increase in Fourth Quarter Revenue Driven by Record Sales
Nov 19 LTRN Lantern Pharma Announces First Patient Dosed in Japan for The Expansion Cohort in The Phase 2 HARMONICâ„¢ Clinical Trial of LP-300 in Never-Smoker NSCLC Patients
Computational Neuroscience

Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.In theory, computational neuroscience would be a sub-field of theoretical neuroscience which employs computational simulations to validate and solve the mathematical models. However, since the biologically plausible mathematical models formulated in neuroscience are in most cases too complex to be solved analytically, the two terms are essentially synonyms and are used interchangeably. The term mathematical neuroscience is also used sometimes, to stress the quantitative nature of the field.Computational neuroscience focuses on the description of biologically plausible neurons (and neural systems) and their physiology and dynamics, and it is therefore not directly concerned with biologically unrealistic models used in connectionism, control theory, cybernetics, quantitative psychology, machine learning, artificial neural networks, artificial intelligence and computational learning theory; although mutual inspiration exists and sometimes there is no strict limit between fields, with model abstraction in computational neuroscience depending on research scope and the granularity at which biological entities are analyzed.
Models in theoretical neuroscience are aimed at capturing the essential features of the biological system at multiple spatial-temporal scales, from membrane currents, and chemical coupling via network oscillations, columnar and topographic architecture, nuclei, all the way up to psychological faculties like memory, learning and behavior. These computational models frame hypotheses that can be directly tested by biological or psychological experiments.

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