身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人，臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」，從精緻西餐到創意火鍋，從日式丼飯到義式早午餐，每走幾步，就會有完全不同的特色料理餐廳。

這次我特別花了一整個月，實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店，也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準，整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你，找到那一間「吃完會想再來」的餐廳。

評比標準與整理方向

這次我走訪的10家餐廳橫跨不同料理類型，從高質感牛排館到巷弄系早午餐，每一間都有自己獨特的風格。為了讓整體比較更客觀，我依照以下四大面向進行評比，並搭配實際用餐體驗來打分。

整體而言，我希望這份評比不只是「哪家好吃」，而是幫你在不同情境下（約會、家庭聚餐、朋友小聚、商業午餐）都能快速找到合適的選擇。畢竟，美食不只是味覺的滿足，更是一段段與朋友共享的生活記憶。

10間臺中公益路餐廳評比懶人包

公益路向來是臺中人聚餐的首選地段，從火鍋、燒肉到中式料理與早午餐，每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單，橫跨平價、創意、高級各路風格。

一頭牛日式燒肉｜炭香濃郁的和牛饗宴，約會聚餐首選

走在公益路上，很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面，搭配昏黃燈光與暖色調的內裝，讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大，但桌距規劃得宜，每桌皆設有獨立排煙設備，烤肉時完全不怕滿身油煙味。

餐點特色

一頭牛的靈魂，絕對是他們招牌的「三國和牛拼盤」。
嚴選的和牛部位，共八個部位、十樣餐點，讓人能從牛頭一路品嘗到牛尾。
油花分布均勻、切片厚薄恰好，經過炭火烤炙後香氣四溢，焦香與油脂在口中交融，入口即化的滑順感令人難忘。
值得一提的是，一頭牛的菜單設計十分彈性
想要一次體驗完整套餐也可以，偏好客製口味則能自由單點組合，不受套餐限制，想吃什麼就點什麼。
而且每桌都能選擇「自行燒烤」或「專人代烤」服務，烤肉管家的火侯掌握與節奏讓整體體驗更輕鬆愉快。
除了主角和牛，旬味野炊飯 與 主廚冰淇淋 也是隱藏版亮點，前者粒粒分明、香氣撲鼻；後者以香草與焙茶為基底，隨季節更換口味，完美收尾。整體服務親切熱情，特別是壽星還能享有 生日畫盤驚喜，讓慶祝時刻更添儀式感。

用餐體驗

整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網，讓人完全不用分心。整場用餐過程就像一場表演，從視覺、嗅覺到味覺都被滿足。
如果是第一次約會或慶祝特別節日，這裡的氛圍既不尷尬又不吵鬧，是營造氣氛的理想選擇。

綜合評分

地址：408臺中市南屯區公益路二段162號

電話：04-23206800

官網：http://www.marihuana.com.tw/yakiniku/index.html

小結語

一頭牛日式燒肉不僅是「吃肉的地方」，更像是一場五感盛宴。從進門那一刻到最後一道甜點，都能感受到他們對細節的用心。
若要在公益路找一間能讓人「邊吃邊微笑」的燒肉店，一頭牛 絕對值得列入你的必訪清單。

TANG Zhan 湯棧｜文青系火鍋代表，麻香湯底與視覺美感並重

在公益路這條美食戰線上，TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。
黑灰調的現代外觀、搭配微霧玻璃與招牌的「湯棧」燈字，呈現出一種低調的時尚感。
店內設計延續品牌主題，以「湯」為靈魂打造整體體驗，從裝潢到香氣，都有濃厚的溫潤氣息。

餐點特色

湯棧最有名的當然是它的「麻香鍋」。
湯底以雞骨與多種辛香料慢熬，香氣濃郁卻不嗆辣，入口後會在喉間留下柔和的花椒香。
「招牌麻油雞鍋」與「黃金牛奶鍋」也是人氣選項，特別是在冬天，溫潤的湯底配上滑嫩肉片，讓人每一口都覺得暖心。
他們的「滷肉飯」和「香蔥豆腐皮」更是許多老客人必點的靈魂配角，簡單卻有記憶點。

用餐體驗

整體氛圍比一般火鍋店更有質感。
桌距寬敞、燈光柔和，店員動作俐落又親切。即使客滿，也不會感覺吵雜或壓迫。
不論是一個人想靜靜吃鍋、或是朋友聚餐，湯棧都能給你剛剛好的距離與溫度。
值得一提的是，上菜速度快、湯底續湯毫不手軟，細節服務到位。

綜合評分

地址：408臺中市南屯區公益路二段248號

電話：04-22580617

官網：https://www.facebook.com/TangZhan.tw/

小結語

NINI 尼尼臺中店｜明亮寬敞的義式早午餐天堂

如果說前兩間是肉食愛好者的天堂，那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主，陽光灑進室內，讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧，建議提早訂位。

餐點特色

NINI 的菜單融合義式與臺灣人口味，選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口，米芯保留微Q口感；而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香，口感層次豐富。
此外，他們的薄餅披薩相當受歡迎，餅皮薄脆、餡料新鮮，是三五好友共享的好選擇。

用餐體驗

店內氣氛輕鬆不拘謹，無論是一個人帶電腦工作、或朋友聚餐，都能找到舒服角落。餐點上桌速度穩定，服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」，很適合想遠離忙碌日常的人。

綜合評分

地址：40861臺中市南屯區公益路二段18號

電話：04-23288498

官網：https://nini.com.tw/

小結語

加分100%浜中特選昆布鍋物｜平價卻用心的湯頭系火鍋，家庭聚餐好選擇

在公益路這條高質感餐廳林立的戰場上，加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐，但靠著實在的湯頭與親切的服務，默默吸引許多回頭客。每到用餐時間，總能看到家庭或情侶三兩成群地圍著鍋邊聊天。

餐點特色

主打 北海道浜中昆布湯底，湯頭清澈卻不單薄，越煮越能喝出海藻與柴魚的自然香氣。
我這次點的是「牛奶昆布鍋」，入口時奶香與昆布香完美融合，搭配新鮮的牛五花肉片，滑順又不膩。
菜盤走健康取向，蔬菜比例高，連玉米、南瓜、豆皮都能吃出甜味；附餐的烏龍麵Q彈有嚼勁，吃完十分有飽足感。

用餐體驗

整體氛圍偏家庭取向，桌距寬敞、座位舒適，帶小孩來也不覺擁擠。店員態度親切，補湯、收盤都很勤快，給人一種「被照顧著」的安心感。
最難得的是，即使價位不高，食材新鮮度仍維持得很好，能感受到店家對品質的堅持。

綜合評分

地址：403臺中市西區公益路288號

電話：0910855180

官網：https://giafine100.com/

小結語

加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤，而是用最簡單的湯頭與新鮮食材，傳遞出家常卻不平凡的溫度。
如果你想在公益路找一間可以放心帶家人一起吃的鍋物店，這裡絕對會讓人感到「加分」不少。

印月餐廳｜中式料理的藝術演繹，宴客與家庭聚會首選

說到臺中公益路的中式料理代表，印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名，把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設，每個細節都散發著低調的典雅氣息。
走進印月，挑高的空間、柔和的燈光與木質桌椅構成沉穩的氛圍。
不論是家庭聚餐、商務宴客，還是節日慶祝，都能找到恰到好處的格調。

餐點特色

印月最令人印象深刻的是他們將傳統中菜融入創意手法。
這次我品嚐的「松露雞湯」香氣濃郁、層次分明，一口下去既有中式的溫潤感，又帶出西式松露的奢華香氣。
「蒜香牛肋條」則是另一道招牌菜，外酥內嫩、油香十足，咬下去肉汁在口中散開，搭配特調醬汁非常過癮。
此外，他們的創意港點如「麻辣小籠包」與「金沙流沙包」也深受年輕客群喜愛，既保留經典又玩出新意。

用餐體驗

服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏，都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法，讓人感受到「被款待」的尊榮感。
雖然價位偏中高，但在這樣的氛圍與品質下，物有所值。

綜合評分

地址：408臺中市南屯區公益路二段818號

電話：0422511155

官網：https://wein818.com/

小結語

印月餐廳是一間「不只吃飯，更像品味生活」的地方。
它成功地讓中式料理不再只是圓桌菜，而是能展現質感、講究細節的美食體驗。
若你在找一間能同時滿足味蕾與體面的餐廳，印月 絕對是公益路上的不敗經典。

KoDō 和牛燒肉｜極致職人精神，專為儀式感與頂級味覺而生

若要形容 KoDō 和牛燒肉 的用餐體驗，一句話足以總結——「像在欣賞一場關於肉的表演」。
隱身在公益路一隅，KoDō 的外觀低調典雅，店內以深色木質調與間接照明營造出沉穩氛圍。
從踏入店門那一刻開始，服務人員的態度、動線、聲音控制，全都精準到位，讓人彷彿走進日式劇場。

餐點特色

這裡主打 日本A5和牛冷藏肉，以「精切厚燒」的方式呈現。
我點的「壽喜燒風和牛套餐」是本日最驚艷的一道——服務人員現場以鐵鍋輕煎，再淋上特製壽喜燒醬汁，香氣瞬間瀰漫整桌。
肉片油花細緻、入口即化，搭配生蛋液後更添柔滑口感。
另一道「冷藏肋眼心」則保留了和牛的彈性與甜度，每一口都能感受到油脂與炭火交織出的層次。
即使是配角如「季節小菜」與「日式和風飯」也毫不馬虎，整體呈現出高級卻不造作的平衡。

用餐體驗

KoDō 的最大特色是「儀式感」。
每位店員的動作都有節奏，從擺盤、火候、換網到講解，都像排練過無數次的演出。
在這裡用餐，會自然地放慢速度，專注於每一口肉帶來的細膩變化。
特別推薦搭配店內的紅酒或日本威士忌，風味更加圓潤。

綜合評分

地址：403臺中市西區公益路260號

電話：0423220312

官網：https://www.facebook.com/kodo2018/

小結語

KoDō 和牛燒肉不是日常餐廳，而是一場體驗。
從環境、服務到食材，每個細節都讓人感受到對「完美」的執著。
若你想在公益路找一間能讓人留下深刻印象、適合紀念日慶祝的餐廳，KoDō 絕對是值得收藏的一次「味覺儀式」。

永心鳳茶｜在茶香裡用餐的優雅時光，臺味早午餐的新詮釋

走進 永心鳳茶公益店，彷彿進入一間有氣質的茶館。
柔和的燈光灑在復古綠牆上，搭配大理石桌面與金色餐具，整體氛圍既典雅又帶有一絲文青氣息。
這裡不只是喝茶的地方，更像是把「臺灣味」以早午餐的形式重新演繹。

餐點特色

永心鳳茶的餐點結合中式靈魂與西式擺盤，無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」，都能讓人感受到熟悉卻不平凡的味道。
炸雞腿外酥內嫩，搭配自製酸菜與溏心蛋，鹹香中帶著層次感。
「鳳茶甜點拼盤」則以茶為靈魂——伯爵茶蛋糕、烏龍茶奶酪、紅茶雪酥，每一口都有細緻的香氣變化。
最特別的是他們的茶飲，從臺灣高山紅茶到金萱冷泡茶，每一壺都現泡現倒，香氣清雅。
對我而言，這不只是一頓飯，更是一段放鬆的午後儀式。

用餐體驗

店內服務人員態度溫和，對茶品介紹詳盡。上餐節奏剛好，不急不徐。
整體氛圍很「耐坐」，許多客人吃完正餐後仍會續點一壺茶聊天。
音樂輕柔、光線柔和，是那種可以靜靜待上兩小時的地方。

綜合評分

地址：40360臺中市西區公益路68號三樓(勤美誠品)

電話：0423221118

官網：https://linktr.ee/yonshin

小結語

永心鳳茶讓人重新定義「臺味」。
它不走傳統路線，而是把熟悉的元素以更細緻、更現代的方式呈現。
無論是姊妹下午茶、親子餐聚，或是想一個人沉澱片刻，永心鳳茶 都是一處能讓人慢下來、品味生活的好地方。

三希樓｜老饕級江浙功夫菜，穩重又帶人情味的中式饗宴

位於公益路上的 三希樓 是許多臺中老饕的口袋名單。
它沒有浮誇的裝潢，卻有一種低調的自信。從大門進入，就能聞到淡淡的醬香與蒸氣味，那是正宗江浙菜的靈魂。
整體裝潢以深木色為主，搭配圓桌與包廂設計，非常適合家庭聚餐或請客宴會。

餐點特色

三希樓的菜色以 江浙與港式料理 為主，兼顧傳統與現代風味。
我這次點了「東坡肉」與「蝦仁炒飯」，兩道都展現了主廚深厚的火候功力。
東坡肉油亮卻不膩，入口即化、鹹甜交織；蝦仁炒飯粒粒分明、香氣十足，每一口都吃得到鑊氣。
此外，「小籠包」皮薄多汁，是幾乎每桌必點的招牌；港點類如「金牌流沙包」與「干貝燒賣」也都表現穩定。

用餐體驗

三希樓的服務給人一種老派但貼心的感覺。
店員上菜節奏掌握得很好，會主動幫忙分菜、收盤，態度沉穩而不打擾。
最讓我印象深刻的是，這裡的客群非常多元——有帶長輩的家庭、公司聚餐，也有情侶共度節日，卻都能在同一空間裡感到自在。

綜合評分

地址：408臺中市南屯區公益路二段95號

電話：0423202322

官網：https://www.sanxilou.com.tw/

小結語

三希樓是一間「吃得出功夫」的餐廳。
它不追求創新，而是用穩定的味道與真材實料，抓住每一位饕客的胃。
如果你想在公益路上找一間能兼顧長輩口味、氣氛又不拘謹的中餐廳，三希樓 絕對是最穩妥的選擇。

一笈壽司｜低調奢華的無菜單日料，職人手藝詮釋旬味極致

在熱鬧的公益路上，一笈壽司 低調得幾乎不顯眼。
外觀簡約，沒有華麗招牌，只有小小的木質門面與柔黃燈光。
一推開門，迎面而來的是日式杉木香氣與寧靜的氛圍，吧檯座位整齊排列，主廚站在中間，彷彿舞臺上的演出者。

餐點特色

一笈壽司採 Omakase（無菜單料理） 形式，每一餐都由主廚根據當日食材設計。
我這次選擇中價位套餐（約 $1200），共十多道料理，從前菜、小鉢、刺身、握壽司到甜點一氣呵成。
「比目魚鰭邊握」是整場最驚豔的瞬間——主廚以火槍輕炙，油脂瞬間釋放，入口後化成柔滑香氣。
「甜蝦海膽軍艦」則完美展現鮮度與層次感，海膽甘甜、甜蝦緊實。
搭配主廚親自調配的醬汁，每一口都像在品嚐季節的節奏。

用餐體驗

整場用餐約90分鐘，節奏緩慢但沉穩。
主廚會邊料理邊與客人互動，介紹魚種產地與食材處理方式。
雖然整體空間不大，但氣氛極佳——柔和的音樂、清酒的香氣、刀刃切魚時的聲音，讓人完全沉浸其中。
特別喜歡他們最後的甜點「焙茶奶酪」，收尾清爽優雅，為整場體驗畫下完美句點。

綜合評分

地址：408臺中市南屯區公益路二段25號

電話：0423206368

官網：https://www.facebook.com/YIJI.sushi/

小結語

一笈壽司是一間真正讓人「放慢呼吸」的餐廳。
這裡沒有多餘擺盤，也不靠噱頭，而是以主廚對食材的尊重與技術堆疊出一場味覺饗宴。
若你想在公益路體驗日本料理最純粹的精神，一笈壽司 絕對值得你預約、靜靜期待。

茶六燒肉堂｜人氣爆棚的和牛燒肉聖地，肉香與幸福感同時滿分

若要票選公益路上「最難訂位」的餐廳，茶六燒肉堂 絕對名列前茅。
不管平日或假日，用餐時段幾乎一位難求。外觀以木質格柵搭配大面玻璃設計，呈現出年輕又有質感的風格。店內空間明亮、桌距適中，播放著輕快的音樂，整體氛圍熱鬧中帶點高級感，是許多年輕人聚餐、慶生的首選地。

餐點特色

茶六主打 和牛燒肉套餐，價格約落在 $700–$1000 間，份量與品質兼具。
我這次點的是「厚切牛舌套餐」，肉片厚實彈牙，略帶脆感，搭配鹽蔥提味剛剛好。
另一道「和牛拼盤」也相當受歡迎，油花分布均勻、香氣濃郁，輕烤幾秒即可入口即化。
套餐附餐部分也相當用心：沙拉新鮮、味噌湯濃郁，最後還有一份「茶香冰淇淋」作結尾，香氣清爽，完美收尾。

用餐體驗

茶六的服務效率相當高。店員親切、換網勤快、補水速度快，整場用餐流程流暢無壓力。
雖然客人很多，但環境維持得乾淨整潔，動線規劃良好。
最令人印象深刻的是他們的 整體節奏拿捏得剛剛好 ——餐點上桌快、氣氛熱絡，卻不會讓人覺得匆忙。
不論是朋友聚會、家庭聚餐，甚至是情侶約會，都能找到各自的樂趣。

綜合評分

地址：403臺中市西區公益路268號

電話：0423281167

官網：https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA

小結語

茶六燒肉堂用「穩定品質＋輕奢氛圍」抓住了臺中年輕族群的心。
不論是第一次約會還是老朋友重聚，都能在這裡找到屬於燒肉的快樂節奏。
若你在公益路只想挑一家「保證不踩雷」的燒肉店，茶六燒肉堂 絕對是首選。

吃完10家公益路餐廳後的心得與結語

吃完這十家餐廳後，臺中公益路不只是一條美食街，而是一段生活風景線。

有的餐廳講究細膩與儀式感，像 一頭牛日式燒肉 與 一笈壽司，讓人感受到食材最純粹的美好

有的則以親切與溫度打動人心，像 加分昆布鍋物、永心鳳茶，讓人明白吃飯不只是為了飽足，而是一種被照顧的幸福。

而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店，則用穩定的品質與熱絡的氛圍，成為許多臺中人心中「想吃肉就去那裡」的代名詞。

這十家店，構成了公益路最動人的縮影

有華麗的，也有溫柔的；有傳統的，也有創新的。

 每一家都在自己的風格裡發光，讓人吃到的不只是料理，而是一種生活的溫度與節奏。

對我而言，這不僅是一場美食旅程，更是一趟關於「臺中味道」的回憶之旅。

FAQ：關於臺中公益路美食常見問題

Q1：公益路哪一區的餐廳最集中？
 最熱鬧的區段大約在「公益路與黎明路口」一帶，這裡聚集了許多知名餐廳，從高級燒肉到早午餐通通有。
像 一頭牛日式燒肉、TANG Zhan 湯棧、茶六燒肉堂 都在這附近，交通方便、停車也相對容易。

Q2：需要提前訂位嗎？
 公益路的熱門餐廳幾乎都建議 提早3～5天訂位，尤其是假日或節慶期間。
特別是 一頭牛日式燒肉、KoDō 和牛燒肉、一笈壽司 這幾家，若臨時前往幾乎很難有位。

最後的話

若要用一句話形容這趟美食之旅，我會說：
「在公益路，吃飯不是選擇，而是一種享受。」
這條路上的每一次用餐，都像一段城市裡的小旅行。
下次當你不確定想吃什麼時，不妨沿著公益路走一圈，或許下一家，正好就是你新的最愛。

印月餐廳適合辦尾牙嗎？

如果你也和我一樣喜歡用味蕾探索一座城市，那就把這篇公益路美食攻略收藏起來吧。TANG Zhan 湯棧長輩會喜歡嗎？

無論是約會、慶生、家庭聚餐，或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。一頭牛日式燒肉飲料值得加點嗎？

下一餐，不妨從這10家開始。一笈壽司適合辦尾牙嗎？

打開手機、約上朋友，讓公益路成為你生活裡最容易抵達的小確幸。印月餐廳好吃嗎？

如果你有私心愛店，也歡迎留言分享，一笈壽司上餐速度快嗎？

你的推薦，可能讓我下一趟美食旅程變得更精彩。茶六燒肉堂需要訂位嗎？

MIT researchers have created a detailed map of neuron activity in the C. elegans worm, revealing how neurons encode behavior. Using cutting-edge technology, they discovered neurons’ capability to adjust their encoding based on various factors and conditions. Their findings provide a comprehensive neural behavior atlas for further studies. MIT researchers model and map how neurons across the tiny brain of a C. elegans worm encode its behaviors, revealing many new insights about the robustness and flexibility of its nervous system To understand the intricate relationship between brain activity and behavior, scientists have needed a way to map this relationship for all of the neurons across a whole brain. Thus far this has been an insurmountable challenge. But after inventing new technologies and methods for the purpose, a team of scientists in The Picower Institute for Learning and Memory at MIT has produced a meticulous accounting of the neurons in the tractably tiny brain of a humble C. elegans worm, mapping out how its brain cells encode almost all of its essential behaviors, such as movement and feeding. In the journal Cell on August 21, the team presented new brain-wide recordings and a mathematical model that accurately predicts the versatile ways that neurons represent the worm’s behaviors. Applying that model specifically to each cell, the team produced an atlas of how most cells, and the circuits they take part in, encode the animal’s actions. The atlas, therefore, reveals the underlying “logic” of how the worm’s brain produces a sophisticated and flexible repertoire of behaviors, even as its environmental circumstances change. Insights From the Research “This study provides a global map of how the animal’s nervous system is organized to control behavior,” said senior author Steven Flavell, Associate Professor in MIT’s Department of Brain and Cognitive Sciences. “It shows how the many defined nodes that make up the animal’s nervous system encode precise behavioral features, and how this depends on factors like the animal’s recent experience and current state.” Graduate students Jungsoo Kim and Adam Atanas, who each earned their PhDs this spring for the research, are the study’s co-lead authors. They’ve also made all their data, and the findings of their model and atlas, freely available to fellow researchers at a website called the WormWideWeb. A two-minute-long excerpt from an example neural/behavioral dataset. The blue, orange, and green dots are targets for tracking, which allowed the team to locate the worm’s head and keep the animal centered in view. A separate view of the microscope (not shown) tracks the simultaneous activity of each brain cell. Credit: Flavell Lab/MIT Picower Institute Advanced Techniques and Observations To make the measurements needed to develop their model, Flavell’s lab invented a new microscope and software system. This setup automatically tracks almost all behaviors of the worm (movement, feeding, sleeping, egg-laying, etc.) and the activity of every neuron in its head (cells are engineered to flash when calcium ions build up). Reliably distinguishing and tracking separate neurons as the worm wriggles around and bends required writing custom software, utilizing the latest tools from machine learning. It proved to be 99.7 percent accurate in sampling individual neuron’s activities with greatly improved signal-to-noise compared to previous systems, the scientists report. The team used the system to record simultaneous behavior and neural data from more than 60 worms as they roved about their dishes, doing whatever they wanted. Data analysis revealed three novel observations about neural activity in the worm: Neurons track behavior not only of the present moment but also the recent past; they tune their encoding of behaviors, such as motion, based on a surprising variety of factors; and many neurons simultaneously encode multiple behaviors. For example, while the behavior of wriggling around one’s little laboratory dish might seem like a very simple act, neurons represented factors such as speed, steering, and whether the worm is eating or not. In some cases they represented the animal’s motion spanning back in time by about a minute. By encoding recent, rather than just current motion, these neurons could help the worm compute how its past actions influenced its current outcome. Many neurons also combined behavioral information to execute more complex maneuvers. Much like a human driver must remember to steer the car in the opposite way when going in reverse versus going forward, certain neurons in the worm’s brain integrated the animal’s direction of motion and steering direction. By carefully analyzing these kinds of patterns of how neural activity correlated with behaviors the scientists developed the C. elegans Probabilistic Neural Encoding Model. The model, encapsulated in a single equation, accounts for how each neuron represents various factors to accurately predict whether and how the neural activity reflects behavior. Nearly 60 percent of the neurons in the worm’s head indeed accounted for at least one behavior. In fitting the model, the research team used a probabilistic modeling approach that allowed them to understand how certain they were about each fit model parameter, an approach pioneered by co-author Vikash Mansinghka, a principal research scientist who leads MIT’s Probabilistic Computing Project. Constructing the Atlas In creating a model that could quantify and predict how any brain cell would represent behavior, the research team initially gathered data from neurons without tracking the cells’ specific identities. But a key goal of studying the worms is to understand how each cell and circuit contributes to behavior. So to apply the model’s capability to each of the worm’s specific neurons, which have all been previously mapped out, the team’s next step was to relate neural activity and behavior for each cell on the map. Doing that required labeling each neuron with a unique color so that its activity could be associated with its identity. The team did this in dozens of freely-moving animals, which provided them with information of how almost all of the defined neurons in the worm’s head related to the animal’s behavior. The atlas resulting from this work revealed many insights, more fully mapping out the neural circuits that control each of the animal’s behaviors. These new findings will enable a more holistic understanding of how these behaviors are controlled, Flavell said. “It allowed us to complete the circuits,” he said. “Our hope is that as our colleagues study aspects of neural circuit function, they can refer to this atlas to obtain a fairly complete view of the key neurons involved.” Neural Flexibility Another major outcome of the team’s work was the intriguing discovery that while most neurons always obeyed the predictions of the model, a smaller set of neurons in the worm’s brain—about 30 percent of those that encode behavior—was able to flexibly remap their behavior encoding, essentially performing new roles. The neurons in this group were reliably similar across animals, and were well connected with one another in the worm’s synaptic wiring diagram. Theoretically, these remapping events could occur for any number of reasons, so the team ran further experiments to see if they could cause neurons to remap. As the worms wriggled around their dishes, the researchers applied a quick laser zap that heated the agar around the worm’s head. The heat was harmless but enough to annoy the worms for a while, inducing a change in the animal’s behavior state that lasted for minutes. From these recordings, the team was able to see that many neurons remapped their behavioral encoding right as animals switched behavioral states.  “Behavioral information is richly expressed across the brain in many different forms – with distinct tunings, timescales, and levels of flexibility – that map onto the defined neuron classes of the C. elegans connectome,” the authors wrote. Reference: “Brain-wide representations of behavior spanning multiple timescales and states in C. elegans” by Adam A. Atanas, Jungsoo Kim, Ziyu Wang, Eric Bueno, McCoy Becker, Di Kang, Jungyeon Park, Talya S. Kramer, Flossie K. Wan, Saba Baskoylu, Ugur Dag, Elpiniki Kalogeropoulou, Matthew A. Gomes, Cassi Estrem, Netta Cohen, Vikash K. Mansinghka and Steven W. Flavell, 21 August 2023, Cell. DOI: 10.1016/j.cell.2023.07.035 In addition to Atanas, Kim, Mansinghka, and Flavell, the paper’s other authors are Ziyu Wang, Eric Bueno, McCoy Becker, Di Kang, Jungyeon Park, Talya Kramer, Flossie Wan, Saba Baskoylu, Ugur Dag, Elpiniki Kalogeropoulou, Matthew Gomes, Cassi Estrem, and Netta Cohen. Funding sources for the research include the National Institutes of Health, the National Science Foundation, The McKnight Foundation, The Alfred P. Sloan Foundation, The Picower Institute for Learning and Memory and The JPB Foundation.

Microbe models leverage extensive genomic data to power soil-carbon simulations. Credit: Illustration by Victor O. Leshyk Scientists are using the DNA from soil microbes to model how they function and use carbon, ultimately helping to advance the accuracy of climate models. Climate models are essential to predicting and addressing climate change, but can fail to adequately represent soil microbes, a critical player in ecosystem soil carbon sequestration that affects the global carbon cycle. A team of scientists led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has developed a new model that incorporates genetic information from microbes. This new model enables the scientists to better understand how certain soil microbes efficiently store carbon supplied by plant roots, and could inform agricultural strategies to preserve carbon in the soil in support of plant growth and climate change mitigation. “Our research demonstrates the advantage of assembling the genetic information of microorganisms directly from soil. Previously, we only had information about a small number of microbes studied in the lab,” said Berkeley Lab Postdoctoral Researcher Gianna Marschmann, the paper’s lead author. “Having genome information allows us to create better models capable of predicting how various plant types, crops, or even specific cultivars can collaborate with soil microbes to better capture carbon. Simultaneously, this collaboration can enhance soil health.” This research is described in a new paper that was recently published in the journal Nature Microbiology. The corresponding authors are Eoin Brodie of Berkeley Lab, and Jennifer Pett-Ridge of Lawrence Livermore National Lab, who leads the “Microbes Persist” Soil Microbiome Scientific Focus Area project that is funded by the DOE Office of Science in support of this work. Seeing the Unseen: Microbial Impact on Soil Health and Carbon Soil microbes help plants access soil nutrients and resist drought, disease, and pests. Their impacts on the carbon cycle are particularly important to represent in climate models because they affect the amount of carbon stored in soil or released into the atmosphere as carbon dioxide during the process of decomposition. By building their own bodies from that carbon, microbes can stabilize (or store) it in the soil, and influence how much, and for how long carbon remains stored belowground. The relevance of these functions to agriculture and climate are being observed like never before. However, with just one gram of soil containing up to 10 billion microorganisms and thousands of different species, the vast majority of microbes have never been studied in the lab. Until recently, the data scientists had to inform these models came from only a tiny minority of lab-studied microbes, with many unrelated to those needing representation in climate models. “This is like building an ecosystem model for a desert based on information from plants that only grow in a tropical forest,” explained Brodie. The World Beneath Our Feet To address this challenge, the team of scientists used genome information directly to build a model capable of being tailored to any ecosystem in need of study, from California’s grasslands to thawing permafrost in the Arctic. With the model using genomes to provide insights into how soil microbes function, the team applied this approach to study plant-microbiome interactions in a California rangeland. Rangelands are economically and ecologically important in California, making up more than 40% of the land area. Research focused on the microbes living around plant roots (called the rhizosphere). This is an important environment to study because, despite being only 1-2% of Earth’s soil volume, this root zone is estimated to hold up to 30-40% of Earth’s carbon stored in soils, with much of that carbon being released by roots as they grow. To build the model, scientists simulated microbes growing in the root environment, using data from the University of California Hopland Research and Extension Center. Nevertheless, the approach is not limited to a particular ecosystem. Since certain genetic information corresponds to specific traits, just as in humans, the relationship between the genomes (what the model is based on) and the microbial traits is transferable to microbes and ecosystems all over the world. The team developed a new way to predict important traits of microbes affecting how quickly they use carbon and nutrients supplied by plant roots. Using the model, the researchers demonstrated that as plants grow and release carbon, distinct microbial growth strategies emerge because of the interaction between root chemistry and microbial traits. In particular, they found that microbes with a slower growth rate were favored by types of carbon released during later stages of plant development and were surprisingly efficient in using carbon – allowing them to store more of this key element in the soil. The Root of the Matter This new observation provides a basis for improving how root-microbe interactions are represented in models, and enhances the ability to predict how microbes impact changes to the global carbon cycle in climate models. “This newfound knowledge has important implications for agriculture and soil health. With the models we are building, it is increasingly possible to leverage new understanding of how carbon cycles through soil. This in turn opens up possibilities to recommend strategies for preserving valuable carbon in the soil to support biodiversity and plant growth at scales feasible to measure the impact,” Marschmann said. The research highlights the power of using modeling approaches based on genetic information to predict microbial traits that can help shed light on the soil microbiome and its impact on the environment. Reference: “Predictions of rhizosphere microbiome dynamics with a genome-informed and trait-based energy budget model” by Gianna L. Marschmann, Jinyun Tang, Kateryna Zhalnina, Ulas Karaoz, Heejung Cho, Beatrice Le, Jennifer Pett-Ridge and Eoin L. Brodie, 5 February 2024, Nature Microbiology. DOI: 10.1038/s41564-023-01582-w This work was supported by the U.S. Department of Energy (DOE), Office of Biological and Environmental Research.

The hindbrain is a region of the brain that controls basic vital functions such as heart rate, respiration, and balance. The hindbrain is considered the most primitive part of the brain and acts as the main link between the spinal cord and the higher brain regions. A Multiregional Hindbrain Circuit Enables Animals To Regain Their Pathing After Deviating From It A zebrafish heads toward its target, but strong currents push it off course. Undeterred, the small fish returns to its starting point, resolute in completing its journey. How do animals know where they are in their environment, and how does this determine their subsequent choices? Researchers at Howard Hughes Medical Institute’s Janelia Research Campus discovered that the hindbrain – an evolutionarily conserved or “ancient” region in the back of the brain – helps animals compute their location and use that information to figure out where they need to go next. The new research, which was recently published in the journal Cell, uncovers new functions for parts of the “ancient brain,” findings that could apply to other vertebrates. This video shows whole-brain recordings of the larval zebrafish taken while it was in the virtual reality environment. Credit: Misha Ahrens Whole-Brain Imaging Reveals New Networks To figure out how animals understand their position in the environment, researchers, led by En Yang, a postdoc in the Ahrens Lab, put tiny translucent zebrafish, barely half a centimeter in length, in a virtual reality environment that simulates water currents. When the current shifts unexpectedly, the fish are initially pushed off course; however, they are able to correct for that movement and get back to where they started. While a zebrafish is swimming in the virtual reality environment, the researchers use a whole-brain imaging technique developed at Janelia to measure what is happening in the fish’s brain. This technique allows the scientists to search the entire brain to see which circuits are activated during their course-correcting behavior and disentangle the individual components involved. The researchers expected to see activation in the forebrain – where the hippocampus, which contains a “cognitive map” of an animal’s environment, is located. To their surprise, they saw activation in several regions of the medulla, where information about the animal’s location was being transmitted from a newly identified circuit via a hindbrain structure called the inferior olive to the motor circuits in the cerebellum that enable the fish to move. When these pathways were blocked, the fish was unable to navigate back to its original location. This video shows a virtual reality environment for larval zebrafish. The fish traverses a 2D environment in the presence of a simulated water flow. Credit: Misha Ahrens These findings suggest that areas of the brainstem remember a zebrafish’s original location and generate an error signal based on its current and past locations. This information is relayed to the cerebellum, allowing the fish to swim back to its starting point. This research reveals a new function for the inferior olive and the cerebellum, which were known to be involved in actions like reaching and locomotion, but not this type of navigation. “We found that the fish is trying to calculate the difference between its current location and its preferred location and uses this difference to generate an error signal,” says Yang, the first author of the new study. “The brain sends that error signal to its motor control centers so the fish can correct after being moved by flow unintentionally, even many seconds later.” A New Multiregional Hindbrain Circuit It is still unclear whether these same networks are involved in similar behavior in other animals. But the researchers hope labs studying mammals will now start looking at the hindbrain for homologous circuits for navigation. This hindbrain network could also be the basis of other navigational skills, such as when a fish swims to a specific place for shelter, say the researchers. “This is a very unknown circuit for this form of navigation that we think might underlie higher order hippocampal circuits for exploration and landmark-based navigation,” says Janelia Senior Group Leader Misha Ahrens. Reference: “A brainstem integrator for self-location memory and positional homeostasis in zebrafish” by En Yang, Maarten F. Zwart, Ben James, Mikail Rubinov, Ziqiang Wei, Sujatha Narayan, Nikita Vladimirov, Brett D. Mensh, James E. Fitzgerald and Misha B. Ahrens, 22 December 2022, Cell. DOI: 10.1016/j.cell.2022.11.022

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