Left Area PF as a Neural Marker of Technical Reasoning
Humans possess a unique capacity for technical reasoning - the ability to infer and manipulate the causal structure of the physical world. Although this faculty is central to technological innovation,...
π οΈπ§ How do we reshape the material world? Not by general intelligence alone, but through a specialized neural system: the left area PF fuels our capacity to reason about physical causalityβcore to tool use, invention, and cumulative culture.
𧬠A new work from @neurogiovanni.bsky.social
Read more π
09.06.2025 12:03 β π 4 π 2 π¬ 0 π 0
Rethinking causal understanding and reverse engineering through the lens of cultural ecology
ππ§ What drives cultural invention? Not just imitation, but ecological reasoning: humans adapt, repurpose, and sometimes unknowingly reinventβguided by environments shaped by others, not always by minds we understand.
π₯Ό A new paper from @neurogiovanni.bsky.social
Take a look π
07.06.2025 11:41 β π 3 π 1 π¬ 0 π 0
The visual encoding of familiar and unfamiliar tools https://www.biorxiv.org/content/10.1101/2025.05.24.655951v1
29.05.2025 01:15 β π 5 π 2 π¬ 0 π 0
My first contribution to the @cogsci-lab.bsky.social as PhD student. Hope you find it intriguing! π€
Check it out below π
29.05.2025 07:44 β π 3 π 0 π¬ 0 π 0
Lack of pre-movement facilitation as neurophysiological hallmark of fatigue in patients with Parkinson's disease: A single pulse TMS study
Fatigue is a debilitating symptom in Parkinson's disease (PD), significantly affecting quality of life. Despite its prevalence, the underlying neurophβ¦
In Parkinsonβs disease, fatigue may reflect impaired motor preparation. π
This TMS study shows absent pre-movement facilitation (PMF) in the most affected hemisphere of fatigued patients β a potential neurophysiological marker β‘π§
#Parkinsons #Neurophysiology #Fatigue #TMS
21.03.2025 08:00 β π 9 π 3 π¬ 1 π 0
The Influence of Spatial Frequencies, Orientation and Familiarity on Face Stimuli Integration
When we observe an object, our visual system identifies its shape and integrates it with specific details to form a coherent representation. This coarse-to-fine approach involves rapid processing of low spatial frequency (LSF) content to generate a basic template, which aids the integration of the more detailed high spatial frequency (HSF) information. Here we explore with two experiments how the contribution of LSF and HSF integration extends to face processing. To do so, we leveraged the face inversion effect, whereby inverted faces are more difficult to recognize than upright ones. In Experiment 1, ten participants matched two familiar faces displayed in rapid succession (template and probe face, respectively). The template and the probe shared either the same SF (congruent) or had complementary SF (incongruent). In congruent conditions, HSF templates yielded better matching accuracy than LSF templates. However, in incongruent conditions, mapping LSF probes onto HSF templates was more effective, but only for upright faces. We propose that, depending on the task, holistic processing may be facilitated by detailed information. In Experiment 2, twelve participants performed the same task with both familiar and unfamiliar faces. While for familiar faces the effects were the same as Experiment 1, for unfamiliar faces the overall accuracy was better for congruent than incongruent conditions, and, crucially, it was independent of the template SF. Our results challenge the view that LSF content provides a foundational template for integrating HSF information, and instead suggest a flexible encoding of SF information, that depends on image contingencies. ### Competing Interest Statement The authors have declared no competing interest.
A new paper from the lab! π
π Our brain processes faces using both coarse and fine detailsβbut does LSF always guide perception? This study suggests a more flexible integration
search.app/GL9ar3USKn2F...
12.02.2025 18:17 β π 3 π 3 π¬ 0 π 0
YouTube video by Giovanni Federico
RAI 3 - TGR Leonardo del 29/01/2025 - Federico et al. 2025 (NeuroImage)
Do mechanical and digital tools engage our brain differently? π¨π»
@neurogiovanni.bsky.social βs research featured in a national TV report!
Check it out π
www.youtube.com/watch?v=04ft...
30.01.2025 08:40 β π 7 π 5 π¬ 0 π 0
Check out the latest work of @antimobuonocore.bsky.social on how visual masks can distort our sense of time!
21.12.2024 08:47 β π 3 π 2 π¬ 0 π 0
Visual stimuli near eye movements can appear closer in time or even reversedβa known effect also seen with visual masks. Our findings show that visual masks not covering the stimuli can also trigger this temporal inversion, suggesting that mask onset time anchors perceptual organization.
21.12.2024 08:14 β π 3 π 2 π¬ 0 π 0
SOBU XPCN Lab
Latest news
Hi Bluesky! π¦ This is the CogSci Lab.
We are a laboratory of experimental psychology and cognitive neuroscience studying neural mechanisms and behavioral patterns using Eye-Tracking, EEG, fMRI. Based in Naples, the worldβs most astonishing city πβοΈ
For more information: www.cogsci.it
20.12.2024 14:40 β π 19 π 6 π¬ 1 π 1
Assoc. Editor, Life Sciences at De Gruyter Brill. Publishes on behavior (Behaviour, Folia Primatologica, Amphibia-Reptilia, Animal Biology, Contributions to Zoology) & perception (Multisensory Research, Timing & Time Perception, Art & Perception).
PhD student in the Object Vision Group at CIMeC, University of Trento. Interested in neuroimaging and object perception. He/him π³οΈβπ
https://davidecortinovis-droid.github.io/
Jody Culham's Action and Real-world Imaging Lab (CulhamARI Lab) at the Centre Brain and Mind, Department of Psychology, and Neuroscience Program, Western University | Cognitive Neuroscience | fMRI | fNIRS | Vision Science | VR | Immersive Neuroscience
I post mainly about Neuroscience, Machine Learning, Complex Systems, or Stats papers.
Working on neural learning /w @auksz.bsky.social CCNB/BCCN/Free University Berlin.
I also play bass in a pop punk band:
https://linktr.ee/goodviewsbadnews
Lead Editor: #CRBIOTECH & #ExplorDHT | PI: PaDiH & LBI-DHPS | Prof of IGAB-PAS | Leader: #DHPSP & #INPST | Expert Consultant in Biotech & Science Communication
πWeb: https://digitalpatientsafety.com/atanas-g-atanasov/
Assistant Professor of Psychological & Brain Sciences at Dartmouth. PI of the Functional Imaging & Naturalistic Neuroscience (FINN) Lab.
https://thefinnlab.github.io/
Laboratory of Experimental Psychology and Cognitive Neuroscience, Suor Orsola Benincasa University (Naples, Italy). Director: Prof. M. A. Brandimonte.
https://www.cogsci.it
News, commentary and research coverage from the international monthly journal publishing the highest quality of work in all areas of neuroscience.
https://www.nature.com/neuro/
Slowly becoming a neuroscientist.
EiC @elife.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
How do we move? I study brains and machines at York University (Assistant Professor). Full-time human.
Neural Control & Computation Lab
www.ncclab.ca
investigating electric waves in the brain,
thinking about visualization, interfaces,
art & beauty with computers.
nschawor.github.io
Frankfurt am Main, Germany
Full Professor of cognitive and computational neuroscience at UniversitΓ© Paris CitΓ© and CNRS.
Interested in attentional rhythms, oscillations, neuroimaging (M/EEG, TMS, fMRI), behavior, computational modeling.
www.duguelab.com
Interested in cognitive processes, neural circuits, philosophical constructs, economic theories and computational models of choice. And in a few other things.
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
lecturer β’ research on human perception and decision-making β’ principled statistics β’ computational models β’ he/him β’ https://mlisi.xyz/
Visual cognition. Eye movements. Eye-gaze communication. School of Psychology and Vision Sciences, University of Leicester.
https://davidsouto.github.io/wp/
Experimental psychologist. Model-based systems cognitive neuroscientist. Methodologist. Theoretician. Cognition, response inhibition, intelligence, executive functions, networks, dynamics in brain diseases, ageing, development. he/him on Kaurna land
Explore groundbreaking news and research from PNAS, one of the world's most-cited scientific journals. Discover its sibling journal, @pnasnexus.org, both official journals of the National Academy of Sciences. Visit www.pnas.org for more info.