Systems neuroscience
Recent articles
‘Ancient’ brainstem structure evolved beyond basic motor control
The human red nucleus may also help coordinate action, reward and motivated behavior, a new study suggests.
‘Ancient’ brainstem structure evolved beyond basic motor control
The human red nucleus may also help coordinate action, reward and motivated behavior, a new study suggests.
This paper changed my life: Marino Pagan recalls a decision-making study from four titans in the field
Valerio Mante and David Sussillo, along with their mentors Krishna Shenoy and Bill Newsome, revealed the complexity of neural population dynamics and the power of recurrent neural networks.
This paper changed my life: Marino Pagan recalls a decision-making study from four titans in the field
Valerio Mante and David Sussillo, along with their mentors Krishna Shenoy and Bill Newsome, revealed the complexity of neural population dynamics and the power of recurrent neural networks.
‘Natural Neuroscience: Toward a Systems Neuroscience of Natural Behaviors,’ an excerpt
In his new book, published today, Nachum Ulanovsky calls on the field to embrace naturalistic conditions and move away from overcontrolled experiments.
‘Natural Neuroscience: Toward a Systems Neuroscience of Natural Behaviors,’ an excerpt
In his new book, published today, Nachum Ulanovsky calls on the field to embrace naturalistic conditions and move away from overcontrolled experiments.
Bespoke photometry system captures variety of dopamine signals in mice
The tool tracks the excitation of an engineered protein that senses dopamine’s absolute levels, including fast and slow fluctuations in real time, and offers new insights into how the signals change across the brain.
Bespoke photometry system captures variety of dopamine signals in mice
The tool tracks the excitation of an engineered protein that senses dopamine’s absolute levels, including fast and slow fluctuations in real time, and offers new insights into how the signals change across the brain.
This paper changed my life: Stephanie Palmer on the ties between human speech and birdsong—and her ‘informal life coach’
A groundbreaking review by Allison Doupe, who was Palmer’s mentor, and Patricia Kuhl helped shape the field’s understanding of the neural and evolutionary dynamics of speech.
This paper changed my life: Stephanie Palmer on the ties between human speech and birdsong—and her ‘informal life coach’
A groundbreaking review by Allison Doupe, who was Palmer’s mentor, and Patricia Kuhl helped shape the field’s understanding of the neural and evolutionary dynamics of speech.
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.