Neuroscientist, Physicist, Senior Faculty @IITJ Adjunct @DBT_NBRC Fellow-FNASc, DBT-Ramalingaswami fellow (past), formerly @CNRS,@TUBerlin, @BCCN, @MIT

Joined August 2008
88 Photos and videos
🧠 Cognitive Brain Dynamics Lab Seminar | Tomorrow at 12 PM! We're thrilled to welcome Dr. Sarthak Chandra (ICTS & NCBS) for a talk on "Episodic and Associative Memory from Spatial Scaffolds in the Hippocampus." Dr. Chandra is a Murty Science Fellow at @ictstifr and a Faculty Associate at the @NCBS_Bangalore and a former @MIT @mitbrainandcog researcher (w/Ila Fiete) @FieteGroup, working on the functional architecture of hippocampal circuits. Open to all! 🔗 Join us via the link below:
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【起きたまま睡眠!?】眠らなくても、睡眠中と同じ脳活動パターンを人工的に作り出せば、あたかも睡眠をとったかのように脳がリフレッシュ(睡眠圧が低下し記憶力も回復)するそうです。マウスでの実証。今日の『ネイチャー神経科学』誌より→ nature.com/articles/s41593-0…
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Ever notice emotions hit harder with age? Our lab's new brain-imaging study reveals that older adults handle suspense, fear & surprise less steadily than younger people. Thrilled to see it featured in @NatureInd 🧠 Grateful @sahanaghosh8 covered it. Wonderful article and aptly summarised our work👇 nature.com/articles/d44151-0…

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社交过程中的神经活动耦合时间尺度:Coupled neural timescales in social interaction cell.com/trends/cognitive-sc…
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𝗖𝗮𝘂𝘀𝗮𝗹 𝗮𝗻𝗱 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗲𝗹𝗲𝗺𝗲𝗻𝘁𝘀 𝗼𝗳 𝗴𝗹𝗼𝗯𝗮𝗹 𝗯𝗿𝗮𝗶𝗻 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 plus *Intrinsic space-time couplings governing multi-scale cortical dynamics* Brain dynamics must-reads by Deisseroth team. biorxiv.org/content/10.64898… biorxiv.org/content/10.64898…
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May 27
Topographic structure and function of locus coeruleus norepinephrine neurons This preprint investigates the organization of locus coeruleus noradrenaline (LC-NE) neurons, which are traditionally viewed as a global brain-wide arousal system. Using mice, the researchers combined: anatomical tracing, gene-expression analysis, morphology reconstruction, and neural activity recordings. They found that LC-NE neurons are not homogeneous. Instead, neurons in different spatial regions of the LC showed: distinct projection targets across the brain, different molecular identities, different cellular morphologies, and different activity patterns during behavior. Some subpopulations were more strongly linked to learning, behavioral flexibility, and context-dependent processing. The study argues that the locus coeruleus is organized more like a structured functional map than a single diffuse neuromodulatory broadcaster. This suggests that noradrenaline signaling may provide targeted, specialized modulation to different brain systems depending on behavioral demands. biorxiv.org/content/10.64898…
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Thalamic oscillations distinguish natural states of consciousness in humans dlvr.it/TSl9Dz
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Recent studies have revealed the synchronization of neuromodulators including norepinephrine, serotonin, acetylcholine, dopamine, and histamine during sleep. A new #ScienceReview explores what potential role the synchronization of these oscillations may play in health. scim.ag/4ve9ObR
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1/8 Ever wonder why daydreaming makes you forget things? A new EEG study just cracked open the brain mechanism behind it 🧵 #Neurosciences #WorkingMemory #BrainWaves New publication alert from CBDL @DBT_NBRC @saide_iitj @iitjodhpur led by PhD student @ankitcog investigating human memory using dual task EEG and self-related processing along with @arpansview Yadav, Banerjee & Roy (2026), Frontiers in Human Neuroscience #EEG #CogNeuro #BetaWaves #MindWandering #WorkingMemory frontiersin.org/journals/hum…
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7/8 The impactful finding: medial-frontal beta power during encoding was the key predictor of memory errors — but only in the externally focused group. In the self-reflection group? Beta's protective effect on memory was completely disrupted.
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8/8 TL;DR: When you're thinking about yourself — even briefly — your brain literally rewires how it encodes the world around you. Beta oscillations that normally protect working memory get overridden. Next time you zone out in a meeting, now you know exactly which brain wave is responsible 😅
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Part 9 - The Pattern Emerges (Figure 6, Part 2) Think of it like blurred vision for emotions: Increased uncertainty → Adjacent emotions blend (anger/fear), but distant ones stay separate (anger/happiness). Neural volatility creates systematic distortions in emotional space—not random noise!
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Part 10 - The Big Picture & Impact 🎯 TAKEAWAYS: Neural volatility reveals aging signatures invisible to traditional measures OFC shows heightened uncertainty in affective inference This may be an ADAPTIVE response to aging Naturalistic paradigms (movies!) unlock real-world brain dynamics 📄 Full paper: DOI 10.1093/cercor/bhag053
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🧠 NEW PAPER ALERT in @CerebralCortex! from Cognitive Brain Dynamics Lab @iitjodhpur @DBT_NBRC @DBTIndia @EduMinOfIndia @MoHFW_INDIA We discovered how aging changes emotional brain processing during movie-watching. Spoiler: It's not about average activity—it's about VOLATILITY. Huge thanks to first author @gargi_4 this study part of her final PhD thesis work with amazing co-authors @FahdYazin, @ArpanBanerjee, and the entire team at NBRC & IIT Jodhpur! 📄 Read the full paper: Cerebral Cortex (2026) 🔗 DOI: 10.1093/cercor/bhag053 #Neuroscience #Aging #Emotions #fMRI Study: 209 participants (young vs older adults) Hitchcock movie watching Thread 👇 academic.oup.com/cercor/arti…
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Part 8 - Beyond Movies: Emotion Recognition (Figure 6, Part 1) Does this extend to other tasks? We tested facial emotion recognition (Happy, Sad, Anger, Fear, Disgust, Surprise). Older adults: 📊 Higher variability in accuracy (SD: 17.44 vs 11.08, P<0.0001) 🔀 "Spillover" between ADJACENT emotions (Fear↔Surprise, Anger↔Disgust)
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Part 7 - Neural State Transitions (Figure 5, Part 2) Model prediction: More uncertainty → More state transitions We tested with Hidden Markov Models: ✅ Young: Stable OFC states ✅ Older: Rapid, frequent transitions Predictions matched neural data! Control (visual cortex): No difference between groups.
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