به گزارش
خبرنگار علمي باشگاه خبرنگاران، دانشمندان توانستهاند خاطرات غير واقعي را در ذهن يک موش قرار دهند.خاطراتي که هيچ وقت اتفاق نيافتاده اما اين موش آن را به خاطر ميآورد.
اين خاطرات به نام خاطرات مصنوعي مصطلح هستند.محققان از علم ژنتيک و ساختار عصبي و مغزي دراين پروژه استفاده کردهاند.دانشمندان با اين پروژه در واقع توانستهاند انديشهي مصنوعي بسازند.
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)
به عنوان مثال: در يکي از آزمايشها، دانشمندان موش را در مکاني قرار دادند که هرگز آنجا نبوده در حالي که اين موش تصور ميکرد آن جا را ميشناسد و آن جا بوده در واقع دانشمندان سلولهايي که خاطرات محل را نگه ميدارند را تغيير دادند.دانشمندان از يک تکنيک به نام optogenetics يعني پاسخ نورونها در مقابل نور استفاده کردهاند.
محققان بر اين باورند که با نتايج دريافتي از اين آزمايشها ميتوانند ترس کاذب در ذهن ايجاد کنند يا ترس واقعي را از بين ببرند.
با توجه به اين که ساختار ذهن موش به انسان شبيه است آنها قصد دارند براي افرادي که وقايع هولناکي را پشت سر ميگذارند از اين تکنولوژي استفاده کنند تا ترس و استرس پس از واقعه را در او از بين ببرند. با اين دستکاري در مغز ميتوان خاطرات و اتفاقات بد را با خاطرات خوش جايگزين کرد./ع2