Philosophy
Recent articles
How does a control theorist explain cognition?
Maxim Raginsky draws on control theory, engineering and philosophy to explore what makes biological brains intelligent, what artificial intelligence is missing, and what principles underlie biological autonomy.
How does a control theorist explain cognition?
Maxim Raginsky draws on control theory, engineering and philosophy to explore what makes biological brains intelligent, what artificial intelligence is missing, and what principles underlie biological autonomy.
Revisiting the neural correlates of consciousness
Life happens in real time, but experience may be composed in ragtime—like the music genre, full of offbeat notes and uneven rhythms. The assumption that waking life consists of a “stream” of conscious representations has inadvertently led consciousness science to its current impasse.
Revisiting the neural correlates of consciousness
Life happens in real time, but experience may be composed in ragtime—like the music genre, full of offbeat notes and uneven rhythms. The assumption that waking life consists of a “stream” of conscious representations has inadvertently led consciousness science to its current impasse.
What if Hegel were a neuroscientist?
Andrea Gambarotto shares what Hegel and enactivism have in common: an agency-first approach to understanding minds and brains.
What if Hegel were a neuroscientist?
Andrea Gambarotto shares what Hegel and enactivism have in common: an agency-first approach to understanding minds and brains.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
What counts as a ‘naturalistic’ behavior?
Nedah Nemati explains how neuroscience methods and the lived experience of the scientists themselves shape how we define the behaviors we seek to explain.
What counts as a ‘naturalistic’ behavior?
Nedah Nemati explains how neuroscience methods and the lived experience of the scientists themselves shape how we define the behaviors we seek to explain.
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Alex Maier argues that a scientific explanation of consciousness requires grounding in formalized mathematics
When it comes to discovering laws of nature for consciousness similar to those in physics, Maier argues that integrated information theory is the only game in town.
Alex Maier argues that a scientific explanation of consciousness requires grounding in formalized mathematics
When it comes to discovering laws of nature for consciousness similar to those in physics, Maier argues that integrated information theory is the only game in town.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.