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other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. 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U-INVITE: estimating individual semantic networks from fluency data. In Proceedings of the 38th annual meeting of the cognitive science society (pp. 1907–1912).",{},{"id":1611,"createTime":1612,"updateTime":1613,"relativeEntities":1614,"slug":1615,"properties":1616,"entityType":754,"verifyStatus":25,"verifyTime":1613,"verifyNote":755,"syncStatus":28,"languages":1626,"translateLanguages":26,"viewCount":36,"primaryUrl":1627,"fullTextUrl":26,"authors":1628,"publicationType":796,"publisherRelationship":1663,"citationCount":234,"citationInfo":1686,"publishDate":1688,"publishYear":1689,"citationAnalyzeStatus":824,"lastCitationAnalyze":1690,"indexDatabases":26,"openAccess":26,"references":1691,"isForceReanalyzing":1203},"42853c51-3888-4dd1-8063-cf782d85eb29","2024-04-11T12:37:38.004+00:00","2024-05-05T16:17:48.313+00:00",[],"On-Logical-Inference-over-Brains-Behaviour-and-Artificial-Neural-Networks",{"keywords":1617,"openalex":1618,"abstract":1620,"title":1622,"doi":1624},{},{"VOID":1619},"W4320482536",{"EN":1621},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>In the cognitive, computational, and neuro-sciences, practitioners often reason about what computational models represent or learn, as well as what algorithm is instantiated. The putative goal of such reasoning is to generalize claims about the model in question, to claims about the mind and brain, and the neurocognitive capacities of those systems. Such inference is often based on a model’s performance on a task, and whether that performance approximates human behavior or brain activity. Here we demonstrate how such argumentation problematizes the relationship between models and their targets; we place emphasis on artificial neural networks (ANNs), though any theory-brain relationship that falls into the same schema of reasoning is at risk. In this paper, we model inferences from ANNs to brains and back within a formal framework — metatheoretical calculus — in order to initiate a dialogue on both how models are broadly understood and used, and on how to best formally characterize them and their functions. To these ends, we express claims from the published record about models’ successes and failures in first-order logic. Our proposed formalization describes the decision-making processes enacted by scientists to adjudicate over theories. We demonstrate that formalizing the argumentation in the literature can uncover potential deep issues about how theory is related to phenomena. We discuss what this means broadly for research in cognitive science, neuroscience, and psychology; what it means for models when they lose the ability to mediate between theory and data in a meaningful way; and what this means for the metatheoretical calculus our fields deploy when performing high-level scientific inference.\u003C\u002Fjats:p>",{"EN":1623},"On Logical Inference over Brains, Behaviour, and Artificial Neural Networks",{"VOID":1625},"10.1007\u002Fs42113-022-00166-x",[102],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs42113-022-00166-x",[1629,1645],{"id":1630,"sortIndex":36,"researcher":26,"roles":1631,"affiliations":1632,"properties":1638},"8bfbd81e-8622-4953-9359-03bfeeff2a88",[],[1633],{"id":26,"sortIndex":36,"affiliation":1634,"properties":26},{"id":765,"createTime":766,"updateTime":767,"relativeEntities":1635,"slug":769,"properties":1636,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1637},{"VI":772},{"openalex":1639,"orcid":1641,"title":1643},{"VOID":1640},"A5057355277",{"VOID":1642},"https:\u002F\u002Forcid.org\u002F0000-0002-1891-0972",{"EN":1644},"Olivia Guest",{"id":1646,"sortIndex":115,"researcher":26,"roles":1647,"affiliations":1648,"properties":1658},"3ce31db1-3d3f-4922-b5f7-ca4f1ab01893",[],[1649],{"id":26,"sortIndex":36,"affiliation":1650,"properties":26},{"id":1651,"createTime":1652,"updateTime":1652,"relativeEntities":1653,"slug":1654,"properties":1655,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"bff18c31-aaee-4afb-9a14-900fb0328102","2024-04-11T12:37:38.022+00:00",[],"Language-and-Computation-in-Neural-Systems-Group-Donders-Centre-for-Cognitive-Neuroimaging-Radboud-University-Nijmegen-The-Netherlands",{"title":1656},{"EN":1657},"Language and Computation in Neural Systems Group, Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands",{"openalex":1659,"title":1661},{"VOID":1660},"A5074060464",{"EN":1662},"Andrea E. Martin",{"url":26,"publisher":1664,"properties":26},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":1665,"slug":663,"properties":1666,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":1671,"manageAffiliations":1672,"indexDatabases":1673,"url":26,"thumbnailPath":26,"statistic":1681,"gsStatistic":26,"type":175,"analyzePriority":26},[],{"issn":1667,"eissn":1668,"title":1669,"url":1670},{"VOID":666},{"VOID":668},{"EN":670},{"VOID":672},[],[],[1674],{"id":704,"indexDatabase":1675,"url":717,"indexYears":718,"academicFieldIds":1680,"indexDatabaseRanking":722},{"id":706,"createTime":707,"updateTime":708,"relativeEntities":1676,"label":1677,"description":1678,"key":714,"publicationTags":1679,"standard":26},[],{"EN":711,"VI":711},{"EN":711,"VI":713},[716],[720,721],{"impactFactor":36,"impactFactorByYear":1682,"i10Index":162,"i10IndexLast5Year":111,"totalPublication":725,"totalPublicationByYear":1683,"totalCitation":628,"totalCitationByYear":1684,"totalCitationPerPublication":728,"totalCitationPerPublicationByYear":1685,"hindexLast5Year":135,"hindex":135},{"2019":641,"2020":476,"2021":54,"2022":524,"2023":153},{"2018":51,"2019":238,"2020":242,"2021":173,"2022":255,"2023":516,"2024":158},{"2018":608,"2019":116,"2020":29,"2021":241,"2022":111,"2023":239},{"2018":59,"2019":730,"2020":731,"2021":479,"2022":40,"2023":732},{"total":234,"publishYear":26,"statisticByYear":1687},{"2022":114,"2023":51,"2024":59},"2023-06-01",2023,"2024-04-11T13:50:59.876+00:00",[1692,1696,1700,1704,1708,1712,1716,1719,1723,1726,1730,1734,1737,1741,1745,1749,1752,1756,1760,1764,1768,1772,1775,1779,1783,1787,1790,1793,1797,1801,1805,1809,1813,1817,1821,1825,1829,1833,1837,1841,1845,1849,1853,1856,1860,1864,1867,1871,1875,1879,1882,1886,1890,1894,1898,1902,1905,1909,1913,1916,1920,1924,1928,1932,1936,1940,1944,1948,1952,1955,1958,1962,1966,1970,1974,1978,1981,1985,1988,1991,1995,1998,2002,2005,2009],{"id":26,"text":1693,"url":26,"identifiers":1694},"Barak, O. 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By tuning the visual system to relevant information sources, object recognition can become more efficient (a benefit) and more biased toward the target (a potential cost). Motivated by selective attention in categorisation models, we developed a goal-directed attention mechanism that can process naturalistic (photographic) stimuli. Our attention mechanism can be incorporated into any existing deep convolutional neural networks (DCNNs). The processing stages in DCNNs have been related to ventral visual stream. In that light, our attentional mechanism incorporates top-down influences from prefrontal cortex (PFC) to support goal-directed behaviour. Akin to how attention weights in categorisation models warp representational spaces, we introduce a layer of attention weights to the mid-level of a DCNN that amplify or attenuate activity to further a goal. We evaluated the attentional mechanism using photographic stimuli, varying the attentional target. We found that increasing goal-directed attention has benefits (increasing hit rates) and costs (increasing false alarm rates). At a moderate level, attention improves sensitivity (i.e. increases \u003Cjats:inline-formula>\u003Cjats:alternatives>\u003Cjats:tex-math>$d^{\\prime }$\u003C\u002Fjats:tex-math>\u003Cmml:math xmlns:mml=\"http:\u002F\u002Fwww.w3.org\u002F1998\u002FMath\u002FMathML\">\n                  \u003Cmml:msup>\n                    \u003Cmml:mrow>\n                      \u003Cmml:mi>d\u003C\u002Fmml:mi>\n                    \u003C\u002Fmml:mrow>\n                    \u003Cmml:mrow>\n                      \u003Cmml:mi>′\u003C\u002Fmml:mi>\n                    \u003C\u002Fmml:mrow>\n                  \u003C\u002Fmml:msup>\n                \u003C\u002Fmml:math>\u003C\u002Fjats:alternatives>\u003C\u002Fjats:inline-formula>) at only a moderate increase in bias for tasks involving standard images, blended images and natural adversarial images chosen to fool DCNNs. These results suggest that goal-directed attention can reconfigure general-purpose DCNNs to better suit the current task goal, much like PFC modulates activity along the ventral stream. In addition to being more parsimonious and brain consistent, the mid-level attention approach performed better than a standard machine learning approach for transfer learning, namely retraining the final network layer to accommodate the new task.\u003C\u002Fjats:p>",{"EN":2030},"The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks",{"VOID":2032},"34723095",{"VOID":1863},[102],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs42113-021-00098-y",[2037,2054,2070],{"id":2038,"sortIndex":115,"researcher":26,"roles":2039,"affiliations":2040,"properties":2049},"dd22afd4-3e75-4dac-97e4-0dcac8cefa43",[],[2041],{"id":26,"sortIndex":36,"affiliation":2042,"properties":26},{"id":2043,"createTime":2044,"updateTime":2044,"relativeEntities":2045,"slug":26,"properties":2046,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"43890e15-2588-4662-bfdd-987c62376f7a","2023-12-07T20:59:53.162+00:00",[],{"title":2047},{"VI":2048},"Department of Experimental Psychology, University College London, 26 Bedford Way, London WC1H 0AP, UK",{"openalex":2050,"title":2052},{"VOID":2051},"A5010202930",{"EN":2053},"Brett D. 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Prime diagnosticity in short-term repetition priming: Is primed evidence discounted, even when it reliably indicates the correct answer? Journal of Experimental Psychology-Learning Memory and Cognition, 34(2), 257–281. https:\u002F\u002Fdoi.org\u002F10.1037\u002F0278-7393.34.2.257.",{"doi":3034},"10.1037\u002F0278-7393.34.2.257",{"id":3036,"createTime":3037,"updateTime":3038,"relativeEntities":3039,"slug":3040,"properties":3041,"entityType":754,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":3053,"translateLanguages":26,"viewCount":36,"primaryUrl":3054,"fullTextUrl":26,"authors":3055,"publicationType":796,"publisherRelationship":3125,"citationCount":135,"citationInfo":3148,"publishDate":3150,"publishYear":2112,"citationAnalyzeStatus":824,"lastCitationAnalyze":3038,"indexDatabases":26,"openAccess":26,"references":3151,"isForceReanalyzing":1203},"6299803f-f7ae-477b-bd20-78afe088f8c6","2024-04-11T16:30:56.613+00:00","2024-04-11T19:14:43.793+00:00",[],"Simulating-Code-switching-Using-a-Neural-Network-Model-of-Bilingual-Sentence-Production",{"mag":3042,"keywords":3044,"openalex":3045,"abstract":3047,"title":3049,"doi":3051},{"VOID":3043},"3048604466",{},{"VOID":3046},"W3048604466",{"EN":3048},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Code-switching is the alternation from one language to the other during bilingual speech. We present a novel method of researching this phenomenon using computational cognitive modeling. We trained a neural network of bilingual sentence production to simulate early balanced Spanish–English bilinguals, late speakers of English who have Spanish as a dominant native language, and late speakers of Spanish who have English as a dominant native language. The model produced code-switches even though it was not exposed to code-switched input. The simulations predicted how code-switching patterns differ between early balanced and late non-balanced bilinguals; the balanced bilingual simulation code-switches considerably more frequently, which is in line with what has been observed in human speech production. Additionally, we compared the patterns produced by the simulations with two corpora of spontaneous bilingual speech and identified noticeable commonalities and differences. To our knowledge, this is the first computational cognitive model simulating the code-switched production of non-balanced bilinguals and comparing the simulated production of balanced and non-balanced bilinguals with that of human bilinguals.\u003C\u002Fjats:p>",{"EN":3050},"Simulating Code-switching Using a Neural Network Model of Bilingual Sentence Production",{"VOID":3052},"10.1007\u002Fs42113-020-00088-6",[102],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs42113-020-00088-6",[3056,3075,3091,3111],{"id":3057,"sortIndex":36,"researcher":26,"roles":3058,"affiliations":3059,"properties":3068},"f27ae6cb-e8a2-48a6-9fee-c20beca0851b",[],[3060],{"id":26,"sortIndex":36,"affiliation":3061,"properties":26},{"id":3062,"createTime":3063,"updateTime":3063,"relativeEntities":3064,"slug":26,"properties":3065,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"53d58702-e0be-4c1f-817a-ba5b51a49fe9","2023-12-19T21:48:18.461+00:00",[],{"title":3066},{"VI":3067},"Centre for Language Studies, Radboud University, Nijmegen, The Netherlands",{"openalex":3069,"orcid":3071,"title":3073},{"VOID":3070},"A5055430173",{"VOID":3072},"https:\u002F\u002Forcid.org\u002F0000-0003-3795-2665",{"EN":3074},"Chara Tsoukala",{"id":3076,"sortIndex":59,"researcher":26,"roles":3077,"affiliations":3078,"properties":3084},"0f0ea7c7-1e1c-4a3b-8e55-0bc17e5481b0",[],[3079],{"id":26,"sortIndex":36,"affiliation":3080,"properties":26},{"id":3062,"createTime":3063,"updateTime":3063,"relativeEntities":3081,"slug":26,"properties":3082,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3083},{"VI":3067},{"openalex":3085,"orcid":3087,"title":3089},{"VOID":3086},"A5031574078",{"VOID":3088},"https:\u002F\u002Forcid.org\u002F0000-0002-7026-711X",{"EN":3090},"Stefan L. 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