Defining representations
Recent articles
This series explores the often-fuzzy concept of representation and the different ways researchers employ the term.
When do neural representations give rise to mental representations?
To answer this question, consider the animal’s umwelt, or what it needs to know about the world.
When do neural representations give rise to mental representations?
To answer this question, consider the animal’s umwelt, or what it needs to know about the world.
What are we talking about? Clarifying the fuzzy concept of representation in neuroscience and beyond
To foster discourse, scientists need to account for all the different ways they use the term “representation.”
What are we talking about? Clarifying the fuzzy concept of representation in neuroscience and beyond
To foster discourse, scientists need to account for all the different ways they use the term “representation.”
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.