Shows
From Our Neurons to YoursMemory Palaces: the science of mental time travel and the brain's GPS system | Lisa Giocomo (Re-release)Today we are re-releasing an episode we did last year with Stanford neurobiologist Lisa Giocomo exploring the intersection of memory, navigation and the boundaries we create between ourselves and the world around us.This episode was inspired by the idea of memory palaces. The idea is simple: Take a place you're very familiar with, say the house you grew up in, and place information you want to remember in different locations within that space. When it's time to remember those things, you can mentally walk through that space and retrieve those items.This...2024-09-2625 minFrom Our Neurons to YoursSpace and Memory | Lisa GiocomoThis week on From Our Neurons to Yours, we sit down with Stanford neurobiologist Lisa Giocomo to explore the intersection of memory and navigation. This episode was inspired by the idea of memory palaces. The idea is simple: Take a place you're very familiar with, say the house you grew up in, and place information you want to remember in different locations within that space. When it's time to remember those things, you can mentally walk through that space and retrieve those items.This ancient technique reveals something very fundamental about how our...2024-02-2225 min
NeuroRadio#63 Beyond predictions - Part 2古館昌平さん(@ShoheiFurutachi, e-mail) ゲスト回、サイエンスメインの後編。感覚予測誤差タスク時のV1 L2/3活動とVIP＋LP (Pulvinar) 入力の協調的な影響を調べた最新プレプリントについてのディスカッション、今後の展望など（9/2 収録）
Show Notes (番組HP):
予測誤差タスク時のV1神経回路活動に関する最新プレプリント SWCのブログ記事
予測符号化に関するKellerとMrsic-Flogelのレビュー
Kellerのnn 2016
Tian et al.
Tirin Moore
Robert Wurtz
LatencyによるAttentionがかかる議論の具体例1 (by Wurtz) と例2 (by Desimone)
Floris de Lange
はPrediction-ErrorはHigherだって言っている
Alex Attinger
Lisa Giocomo
Uchida lab
Kim et al., Cell 2020
Sensory Prediction Errorの際のReceptive field を見る（ArisじゃなくてPowelでした）
Oddball 課題
Marinaのタスクでもオフレスポンスを見ていた (Cortical top-downはL1aとb両方でした by 古)
Randy Bruno
の仕事
あとBurkhalterのL1 inputsのsegregation論文もありますね。(古)
Alison Barth
の仕事
Carl Petersen
の仕事
Rabiesの仕事
SST44, Chris Harveyのヤツ
Nuno Macarico da Costa
AllenのEM, VIPは一部のSOMにしかいってない
Scanzianiのスライスのデータ（Inhibition of inhibition, nn）
Marina Garrett
の論文がNatureに送られた
Crick Institute
OxfordのDPAG (Department of Physiology, Anatomy & Genetics)
Bob Datta
ロブションのマッシュポテトのレシピ
2023-09-092h 35
Top of the NOGNRerouting... (feat. Isabel Low)Isabel Low is a PhD student at the Wu Tsai Neurosciences Institute at Stanford University in the lab of Dr. Lisa Giocomo. You can learn more about Isabel's research here (https://www.cell.com/neuron/fulltext/S0896-6273(21)00504-3) and the Giocomo lab here (https://giocomolab.weebly.com).2022-04-2937 min
NeuroRadio#24 Poor is the pupil who does not surpass his master - Part 2UC Irvineの五十嵐啓さん(@kei_m_igarashi)にお越しいただき、モーザーラボでのポスドク時代、ジョブハント、独立してからのお話をしていただきました。そして最後に今回のNature論文を少し頭出ししていただきました（8/31収録）
Shownotes:
ジョブハントについて：五十嵐さん就職活動記
MoserラボのGrid Cell論文
Loren FrankラボHP
田代さん ラボHP（現在シンガポール）
Lisa GiocomoラボＨＰ
McNaughtonとのNRNのreview
故Howard Eichenbaum のラボ
Jim KnierimがScienceに2005年に出してたMECとLECは違うっていう論文
Laura Colginのガンマ論文
藤澤さんの匂い嗅いでAlternatingの論文
Edvard Moser
May-britt Moser
経歴や最近の仕事についてはNeuroRadio EP2をご参照ください
BuzsakiラボからのFernandez-Ruiz et al., ガンマの方
Menno WitterラボＨＰ
エスペン, proximalの方がspatialが強い
この旗は…：五十嵐さんの部屋に飾ってあるノルウェー国旗
John O’Keefe
Bruce McNaughton
最近議論になったやつ：Science Advancesの論文
切磋琢磨するアメリカの科学者たち
スタディーセクション：NIH関連予算審査を行う分科会議
Neuronに通った論文
一番最初のFrontierの論文
内田さんのOpto-tagging 2012年
LECが一番最初に壊れる
その後出たLEC論文１：Situation cell
その後出たLEC論文２：Egocentric cell
その後出たLEC論文３：Time cell
MECでlayer 2の二つの細胞種が違う機能を持つということを示した仕事１ 仕事２
Fan cellとPyramidal cell：LECの主要な興奮性細胞で、形態や局在が異なる
Leitnerらの論文
The Hippocampus book
Larry Swansonの80年代の仕事、ドパミン＠LECの図：The Hippocampus Book p61
ドパミンのdip、河西先生ラボからのD2Rのお仕事
Jaws（赤色抑制オプト）で止める
LismanのNeoHebbianレビュー
BonhoefferのPFCの仕事
2021-09-222h 46
Stories of Women in NeuroscienceDr. Lisa Giocomo on studying grid cells and letting curiosity drive your scienceLisa is an Associate Professor at Stanford University who studies biophysical and network properties of grid cells in the entorhinal cortex. Although she hesitates to describe herself as a “card-carrying computational neuroscientist ”, Lisa has quite a bit of computational experience in her past. In her interview with Dakota, she reveals why grid cells are so incredibly interesting, and how this interest and her thirst for understanding led her all the way to Norway to study them experimentally and to model their unique coding properties. Lisa also recalls the challenges she faced as a new PI and shares some valuable advi...2020-08-2031 min